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Add 30k_variables benchmark - #529

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k0kubun merged 1 commit into
ruby:mainfrom
k0kubun:30k-variables
Aug 29, 2026
Merged

Add 30k_variables benchmark#529
k0kubun merged 1 commit into
ruby:mainfrom
k0kubun:30k-variables

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@k0kubun k0kubun commented Aug 28, 2026

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This PR adds a synthetic benchmark that evaluates the performance of local variables.

cruby: ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +PRISM [x86_64-linux]
yjit: ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +YJIT +PRISM [x86_64-linux]
zjit: ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +ZJIT +PRISM [x86_64-linux]
jruby: jruby 10.1.1.0 (4.0.0) 2026-07-22 aaa95d57e1 OpenJDK 64-Bit Server VM 21.0.12+8-1-24.04-Ubuntu on 21.0.12+8-1-24.04-Ubuntu +indy +jit [x86_64-linux]
truffleruby: truffleruby 34.0.1 (2026-04-26), like ruby 3.4.9, Oracle GraalVM JVM [x86_64-linux]

-------------  ------------  ------------  ----------  ------------  ----------------  ----------  ----------  -----------  -----------------
bench            cruby (ms)     yjit (ms)   zjit (ms)    jruby (ms)  truffleruby (ms)  cruby/yjit  cruby/zjit  cruby/jruby  cruby/truffleruby
30k_variables  641.6 ± 0.2%  392.0 ± 1.9%  6.1 ± 0.1%  249.3 ± 1.7%       7.3 ± 14.6%       1.637     104.454        2.573             87.395
-------------  ------------  ------------  ----------  ------------  ----------------  ----------  ----------  -----------  -----------------
Full output 
$ ./run_benchmarks.rb 30k_variables --harness=warmup --chruby 'cruby::after;yjit::after --yjit;zjit::after --zjit;jruby::jruby-10.1.1.0 -Xcompile.invokedynamic=true -J-XX:+UseParallelGC;truffleruby::truffleruby-graalvm-34.0.1 --jvm'
Running benchmark "30k_variables" (1/1)
+ setarch x86_64 -R taskset -c 9 /opt/rubies/after/bin/ruby -I harness-warmup /home/k0kubun/src/github.com/ruby/ruby-bench/benchmarks/30k_variables.rb
ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +PRISM [x86_64-linux]
iter #  1: 646ms, mad=0.0000/0.0000, median=646ms
iter #  2: 645ms, mad=0.0011/0.0000, median=645ms
iter #  3: 644ms, mad=0.0011/0.0000, median=645ms
iter #  4: 644ms, mad=0.0006/0.0000, median=644ms
iter #  5: 644ms, mad=0.0005/0.0000, median=644ms
iter #  6: 640ms, mad=0.0007/0.0000, median=644ms
iter #  7: 641ms, mad=0.0011/0.0000, median=644ms
iter #  8: 642ms, mad=0.0020/0.0000, median=644ms
iter #  9: 645ms, mad=0.0011/0.0000, median=644ms
iter # 10: 640ms, mad=0.0020/0.0010, median=644ms
iter # 11: 644ms, mad=0.0011/0.0011, median=644ms
iter # 12: 642ms, mad=0.0018/0.0012, median=644ms
iter # 13: 644ms, mad=0.0013/0.0013, median=644ms
iter # 14: 640ms, mad=0.0018/0.0014, median=644ms
iter # 15: 640ms, mad=0.0018/0.0015, median=644ms
iter # 16: 641ms, mad=0.0025/0.0016, median=643ms
iter # 17: 643ms, mad=0.0026/0.0017, median=643ms
iter # 18: 643ms, mad=0.0024/0.0018, median=643ms
iter # 19: 642ms, mad=0.0024/0.0019, median=643ms
iter # 20: 640ms, mad=0.0025/0.0020, median=642ms
iter # 21: 641ms, mad=0.0026/0.0021, median=642ms
iter # 22: 637ms, mad=0.0028/0.0022, median=642ms
iter # 23: 640ms, mad=0.0028/0.0023, median=642ms
iter # 24: 643ms, mad=0.0028/0.0024, median=642ms
iter # 25: 640ms, mad=0.0028/0.0025, median=642ms
iter # 26: 643ms, mad=0.0028/0.0026, median=642ms
iter # 27: 642ms, mad=0.0026/0.0027, median=642ms
RSS: 25.0MiB
MAXRSS: 36.9MiB
RSS sampled (n=14): median 25.1MiB ± 0.0MiB (MAD), range [25.1, 25.1]MiB
Benchmarking took 0 minutes 17 seconds
Statistics for the second half of iterations (considered warmed up):
median: 641ms +/- 1.252ms (0.20%) (median absolute deviation)
mean:   641ms +/- 1.576ms (0.25%) (standard deviation)
range: [637-643]ms
Running benchmark "30k_variables" (1/1)
+ setarch x86_64 -R taskset -c 9 /opt/rubies/after/bin/ruby --yjit -I harness-warmup /home/k0kubun/src/github.com/ruby/ruby-bench/benchmarks/30k_variables.rb
ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +YJIT +PRISM [x86_64-linux]
iter #  1: 3603ms, mad=0.0000/0.0000, median=3603ms
iter #  2: 391ms, mad=0.8041/0.0000, median=1997ms
iter #  3: 389ms, mad=0.0036/0.0000, median=391ms
iter #  4: 389ms, mad=0.0020/0.0000, median=390ms
iter #  5: 388ms, mad=0.0036/0.0000, median=389ms
iter #  6: 388ms, mad=0.0030/0.0000, median=389ms
iter #  7: 387ms, mad=0.0032/0.0000, median=389ms
iter #  8: 387ms, mad=0.0027/0.0000, median=389ms
iter #  9: 393ms, mad=0.0040/0.0000, median=389ms
iter # 10: 392ms, mad=0.0043/0.0010, median=389ms
iter # 11: 390ms, mad=0.0036/0.0011, median=389ms
iter # 12: 390ms, mad=0.0038/0.0012, median=390ms
iter # 13: 390ms, mad=0.0041/0.0013, median=390ms
iter # 14: 390ms, mad=0.0032/0.0014, median=390ms
iter # 15: 390ms, mad=0.0023/0.0015, median=390ms
iter # 16: 391ms, mad=0.0028/0.0016, median=390ms
iter # 17: 392ms, mad=0.0033/0.0017, median=390ms
iter # 18: 390ms, mad=0.0026/0.0018, median=390ms
iter # 19: 389ms, mad=0.0023/0.0019, median=390ms
iter # 20: 389ms, mad=0.0025/0.0020, median=390ms
iter # 21: 388ms, mad=0.0026/0.0021, median=390ms
iter # 22: 388ms, mad=0.0031/0.0022, median=390ms
iter # 23: 388ms, mad=0.0034/0.0023, median=390ms
iter # 24: 388ms, mad=0.0032/0.0024, median=389ms
iter # 25: 392ms, mad=0.0034/0.0025, median=390ms
iter # 26: 391ms, mad=0.0035/0.0026, median=390ms
iter # 27: 391ms, mad=0.0033/0.0027, median=390ms
iter # 28: 389ms, mad=0.0030/0.0028, median=390ms
iter # 29: 388ms, mad=0.0029/0.0029, median=390ms
iter # 30: 421ms, mad=0.0033/0.0030, median=390ms
iter # 31: 389ms, mad=0.0029/0.0031, median=390ms
YJIT stats:
inline_code_size:     2,676,722
outlined_code_size:  23,605,516
code_region_size:    54,951,936
yjit_alloc_size:     59,747,357
compile_time          3214.80ms
RSS: 161.4MiB
MAXRSS: 161.6MiB
RSS sampled (n=16): median 159.9MiB ± 0.0MiB (MAD), range [159.9, 161.6]MiB
Benchmarking took 0 minutes 15 seconds
Statistics for the second half of iterations (considered warmed up):
median: 389ms +/- 1.229ms (0.32%) (median absolute deviation)
mean:   392ms +/- 7.633ms (1.95%) (standard deviation)
range: [388-421]ms
Running benchmark "30k_variables" (1/1)
+ setarch x86_64 -R taskset -c 9 /opt/rubies/after/bin/ruby --zjit -I harness-warmup /home/k0kubun/src/github.com/ruby/ruby-bench/benchmarks/30k_variables.rb
ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +ZJIT +PRISM [x86_64-linux]
iter #  1: 550ms, mad=0.0000/0.0000, median=550ms
iter #  2: 39ms, mad=0.8654/0.0000, median=295ms
iter #  3: 39ms, mad=0.0080/0.0000, median=39ms
iter #  4: 39ms, mad=0.0041/0.0000, median=39ms
iter #  5: 39ms, mad=0.0035/0.0000, median=39ms
iter #  6: 39ms, mad=0.0018/0.0000, median=39ms
iter #  7: 39ms, mad=0.0035/0.0000, median=39ms
iter #  8: 39ms, mad=0.0018/0.0000, median=39ms
iter #  9: 39ms, mad=0.0035/0.0000, median=39ms
iter # 10: 39ms, mad=0.0028/0.0010, median=39ms
iter # 11: 39ms, mad=0.0022/0.0011, median=39ms
iter # 12: 39ms, mad=0.0037/0.0012, median=39ms
iter # 13: 39ms, mad=0.0045/0.0013, median=39ms
iter # 14: 39ms, mad=0.0029/0.0014, median=39ms
iter # 15: 39ms, mad=0.0034/0.0015, median=39ms
iter # 16: 39ms, mad=0.0035/0.0016, median=39ms
iter # 17: 39ms, mad=0.0034/0.0017, median=39ms
iter # 18: 39ms, mad=0.0029/0.0018, median=39ms
iter # 19: 39ms, mad=0.0022/0.0019, median=39ms
iter # 20: 39ms, mad=0.0028/0.0020, median=39ms
iter # 21: 39ms, mad=0.0022/0.0021, median=39ms
iter # 22: 39ms, mad=0.0022/0.0022, median=39ms
iter # 23: 39ms, mad=0.0022/0.0023, median=39ms
iter # 24: 39ms, mad=0.0027/0.0024, median=39ms
iter # 25: 40ms, mad=0.0022/0.0025, median=39ms
iter # 26: 39ms, mad=0.0023/0.0026, median=39ms
iter # 27: 39ms, mad=0.0024/0.0027, median=39ms
iter # 28: 39ms, mad=0.0027/0.0028, median=39ms
iter # 29: 39ms, mad=0.0022/0.0029, median=39ms
iter # 30: 41ms, mad=0.0027/0.0030, median=39ms
iter # 31: 6ms, mad=0.0025/0.0031, median=39ms
iter # 32: 6ms, mad=0.0027/0.0032, median=39ms
iter # 33: 6ms, mad=0.0030/0.0033, median=39ms
iter # 34: 6ms, mad=0.0032/0.0034, median=39ms
iter # 35: 6ms, mad=0.0035/0.0035, median=39ms
iter # 36: 6ms, mad=0.0036/0.0036, median=39ms
iter # 37: 6ms, mad=0.0036/0.0037, median=39ms
iter # 38: 6ms, mad=0.0039/0.0038, median=39ms
iter # 39: 6ms, mad=0.0041/0.0039, median=39ms
iter # 40: 6ms, mad=0.0042/0.0040, median=39ms
iter # 41: 6ms, mad=0.0045/0.0041, median=39ms
iter # 42: 6ms, mad=0.0050/0.0042, median=39ms
iter # 43: 6ms, mad=0.0055/0.0043, median=39ms
iter # 44: 6ms, mad=0.0056/0.0044, median=39ms
iter # 45: 6ms, mad=0.0059/0.0045, median=39ms
iter # 46: 6ms, mad=0.0075/0.0046, median=39ms
iter # 47: 6ms, mad=0.0092/0.0047, median=39ms
iter # 48: 6ms, mad=0.0095/0.0048, median=39ms
iter # 49: 6ms, mad=0.0097/0.0049, median=39ms
iter # 50: 6ms, mad=0.0098/0.0050, median=39ms
iter # 51: 6ms, mad=0.0100/0.0051, median=39ms
iter # 52: 6ms, mad=0.0112/0.0052, median=39ms
iter # 53: 6ms, mad=0.0124/0.0053, median=39ms
iter # 54: 6ms, mad=0.0253/0.0054, median=39ms
iter # 55: 6ms, mad=0.0382/0.0055, median=39ms
iter # 56: 6ms, mad=0.0415/0.0056, median=39ms
iter # 57: 6ms, mad=0.0448/0.0057, median=39ms
iter # 58: 6ms, mad=0.4442/0.0058, median=39ms
iter # 59: 6ms, mad=0.8404/0.0059, median=39ms
iter # 60: 6ms, mad=0.7293/0.0060, median=22ms
iter # 61: 6ms, mad=0.0173/0.0061, median=6ms
iter # 62: 6ms, mad=0.0122/0.0062, median=6ms
iter # 63: 6ms, mad=0.0075/0.0063, median=6ms
iter # 64: 6ms, mad=0.0063/0.0064, median=6ms
iter # 65: 6ms, mad=0.0051/0.0065, median=6ms
iter # 66: 6ms, mad=0.0044/0.0066, median=6ms
iter # 67: 6ms, mad=0.0040/0.0067, median=6ms
iter # 68: 6ms, mad=0.0038/0.0068, median=6ms
iter # 69: 6ms, mad=0.0039/0.0069, median=6ms
iter # 70: 6ms, mad=0.0037/0.0070, median=6ms
iter # 71: 6ms, mad=0.0035/0.0071, median=6ms
iter # 72: 6ms, mad=0.0035/0.0072, median=6ms
iter # 73: 6ms, mad=0.0036/0.0073, median=6ms
iter # 74: 6ms, mad=0.0034/0.0074, median=6ms
iter # 75: 6ms, mad=0.0033/0.0075, median=6ms
iter # 76: 6ms, mad=0.0031/0.0076, median=6ms
iter # 77: 6ms, mad=0.0028/0.0077, median=6ms
iter # 78: 6ms, mad=0.0028/0.0078, median=6ms
iter # 79: 6ms, mad=0.0028/0.0079, median=6ms
iter # 80: 6ms, mad=0.0027/0.0080, median=6ms
iter # 81: 6ms, mad=0.0026/0.0081, median=6ms
iter # 82: 6ms, mad=0.0025/0.0082, median=6ms
iter # 83: 6ms, mad=0.0025/0.0083, median=6ms
iter # 84: 6ms, mad=0.0025/0.0084, median=6ms
iter # 85: 6ms, mad=0.0025/0.0085, median=6ms
iter # 86: 6ms, mad=0.0025/0.0086, median=6ms
iter # 87: 6ms, mad=0.0024/0.0087, median=6ms
iter # 88: 6ms, mad=0.0024/0.0088, median=6ms
iter # 89: 6ms, mad=0.0023/0.0089, median=6ms
iter # 90: 6ms, mad=0.0024/0.0090, median=6ms
iter # 91: 6ms, mad=0.0023/0.0091, median=6ms
iter # 92: 6ms, mad=0.0023/0.0092, median=6ms
iter # 93: 6ms, mad=0.0023/0.0093, median=6ms
iter # 94: 6ms, mad=0.0022/0.0094, median=6ms
iter # 95: 6ms, mad=0.0022/0.0095, median=6ms
iter # 96: 6ms, mad=0.0022/0.0096, median=6ms
iter # 97: 6ms, mad=0.0022/0.0097, median=6ms
iter # 98: 6ms, mad=0.0022/0.0098, median=6ms
iter # 99: 6ms, mad=0.0022/0.0099, median=6ms
iter #100: 6ms, mad=0.0021/0.0100, median=6ms
iter #101: 6ms, mad=0.0021/0.0101, median=6ms
iter #102: 6ms, mad=0.0020/0.0102, median=6ms
iter #103: 6ms, mad=0.0020/0.0103, median=6ms
iter #104: 6ms, mad=0.0020/0.0104, median=6ms
iter #105: 6ms, mad=0.0020/0.0105, median=6ms
iter #106: 6ms, mad=0.0020/0.0106, median=6ms
iter #107: 6ms, mad=0.0020/0.0107, median=6ms
iter #108: 6ms, mad=0.0019/0.0108, median=6ms
iter #109: 6ms, mad=0.0018/0.0109, median=6ms
iter #110: 6ms, mad=0.0019/0.0110, median=6ms
iter #111: 6ms, mad=0.0018/0.0111, median=6ms
iter #112: 6ms, mad=0.0018/0.0112, median=6ms
iter #113: 6ms, mad=0.0018/0.0113, median=6ms
iter #114: 6ms, mad=0.0017/0.0114, median=6ms
iter #115: 6ms, mad=0.0017/0.0115, median=6ms
iter #116: 6ms, mad=0.0017/0.0116, median=6ms
iter #117: 6ms, mad=0.0017/0.0117, median=6ms
iter #118: 6ms, mad=0.0017/0.0118, median=6ms
iter #119: 6ms, mad=0.0017/0.0119, median=6ms
iter #120: 6ms, mad=0.0017/0.0120, median=6ms
iter #121: 6ms, mad=0.0017/0.0121, median=6ms
iter #122: 6ms, mad=0.0016/0.0122, median=6ms
iter #123: 6ms, mad=0.0016/0.0123, median=6ms
iter #124: 6ms, mad=0.0016/0.0124, median=6ms
iter #125: 6ms, mad=0.0016/0.0125, median=6ms
iter #126: 6ms, mad=0.0016/0.0126, median=6ms
iter #127: 6ms, mad=0.0016/0.0127, median=6ms
iter #128: 6ms, mad=0.0014/0.0128, median=6ms
iter #129: 6ms, mad=0.0015/0.0129, median=6ms
iter #130: 6ms, mad=0.0014/0.0130, median=6ms
iter #131: 6ms, mad=0.0014/0.0131, median=6ms
iter #132: 6ms, mad=0.0013/0.0132, median=6ms
iter #133: 6ms, mad=0.0014/0.0133, median=6ms
iter #134: 6ms, mad=0.0014/0.0134, median=6ms
iter #135: 6ms, mad=0.0014/0.0135, median=6ms
iter #136: 6ms, mad=0.0013/0.0136, median=6ms
iter #137: 6ms, mad=0.0014/0.0137, median=6ms
iter #138: 6ms, mad=0.0013/0.0138, median=6ms
iter #139: 6ms, mad=0.0013/0.0139, median=6ms
iter #140: 6ms, mad=0.0013/0.0140, median=6ms
iter #141: 6ms, mad=0.0013/0.0141, median=6ms
iter #142: 6ms, mad=0.0013/0.0142, median=6ms
iter #143: 6ms, mad=0.0013/0.0143, median=6ms
iter #144: 6ms, mad=0.0013/0.0144, median=6ms
iter #145: 6ms, mad=0.0013/0.0145, median=6ms
iter #146: 6ms, mad=0.0013/0.0146, median=6ms
iter #147: 6ms, mad=0.0013/0.0147, median=6ms
iter #148: 6ms, mad=0.0013/0.0148, median=6ms
iter #149: 6ms, mad=0.0013/0.0149, median=6ms
iter #150: 6ms, mad=0.0013/0.0150, median=6ms
iter #151: 6ms, mad=0.0013/0.0151, median=6ms
iter #152: 6ms, mad=0.0013/0.0152, median=6ms
iter #153: 6ms, mad=0.0013/0.0153, median=6ms
iter #154: 6ms, mad=0.0013/0.0154, median=6ms
iter #155: 6ms, mad=0.0013/0.0155, median=6ms
iter #156: 6ms, mad=0.0013/0.0156, median=6ms
iter #157: 6ms, mad=0.0013/0.0157, median=6ms
iter #158: 6ms, mad=0.0013/0.0158, median=6ms
iter #159: 6ms, mad=0.0013/0.0159, median=6ms
iter #160: 6ms, mad=0.0013/0.0160, median=6ms
iter #161: 6ms, mad=0.0013/0.0161, median=6ms
iter #162: 6ms, mad=0.0013/0.0162, median=6ms
iter #163: 6ms, mad=0.0013/0.0163, median=6ms
iter #164: 6ms, mad=0.0013/0.0164, median=6ms
iter #165: 6ms, mad=0.0013/0.0165, median=6ms
iter #166: 6ms, mad=0.0013/0.0166, median=6ms
iter #167: 6ms, mad=0.0013/0.0167, median=6ms
iter #168: 6ms, mad=0.0012/0.0168, median=6ms
iter #169: 6ms, mad=0.0012/0.0169, median=6ms
iter #170: 6ms, mad=0.0012/0.0170, median=6ms
iter #171: 6ms, mad=0.0012/0.0171, median=6ms
iter #172: 6ms, mad=0.0012/0.0172, median=6ms
iter #173: 6ms, mad=0.0012/0.0173, median=6ms
iter #174: 6ms, mad=0.0012/0.0174, median=6ms
iter #175: 6ms, mad=0.0013/0.0175, median=6ms
iter #176: 6ms, mad=0.0012/0.0176, median=6ms
iter #177: 6ms, mad=0.0012/0.0177, median=6ms
iter #178: 6ms, mad=0.0012/0.0178, median=6ms
iter #179: 6ms, mad=0.0012/0.0179, median=6ms
iter #180: 6ms, mad=0.0012/0.0180, median=6ms
iter #181: 6ms, mad=0.0012/0.0181, median=6ms
iter #182: 6ms, mad=0.0012/0.0182, median=6ms
iter #183: 6ms, mad=0.0012/0.0183, median=6ms
iter #184: 6ms, mad=0.0012/0.0184, median=6ms
iter #185: 6ms, mad=0.0012/0.0185, median=6ms
iter #186: 6ms, mad=0.0012/0.0186, median=6ms
iter #187: 6ms, mad=0.0012/0.0187, median=6ms
iter #188: 6ms, mad=0.0012/0.0188, median=6ms
iter #189: 6ms, mad=0.0012/0.0189, median=6ms
iter #190: 6ms, mad=0.0012/0.0190, median=6ms
iter #191: 6ms, mad=0.0013/0.0191, median=6ms
iter #192: 6ms, mad=0.0012/0.0192, median=6ms
iter #193: 6ms, mad=0.0013/0.0193, median=6ms
iter #194: 6ms, mad=0.0012/0.0194, median=6ms
iter #195: 6ms, mad=0.0012/0.0195, median=6ms
iter #196: 6ms, mad=0.0012/0.0196, median=6ms
iter #197: 6ms, mad=0.0012/0.0197, median=6ms
iter #198: 6ms, mad=0.0012/0.0198, median=6ms
iter #199: 6ms, mad=0.0012/0.0199, median=6ms
iter #200: 6ms, mad=0.0012/0.0200, median=6ms
iter #201: 6ms, mad=0.0012/0.0201, median=6ms
iter #202: 6ms, mad=0.0012/0.0202, median=6ms
iter #203: 6ms, mad=0.0012/0.0203, median=6ms
iter #204: 6ms, mad=0.0012/0.0204, median=6ms
iter #205: 6ms, mad=0.0012/0.0205, median=6ms
iter #206: 6ms, mad=0.0012/0.0206, median=6ms
iter #207: 6ms, mad=0.0012/0.0207, median=6ms
iter #208: 6ms, mad=0.0012/0.0208, median=6ms
iter #209: 6ms, mad=0.0012/0.0209, median=6ms
iter #210: 6ms, mad=0.0012/0.0210, median=6ms
iter #211: 6ms, mad=0.0012/0.0211, median=6ms
iter #212: 6ms, mad=0.0012/0.0212, median=6ms
iter #213: 6ms, mad=0.0012/0.0213, median=6ms
iter #214: 6ms, mad=0.0012/0.0214, median=6ms
iter #215: 6ms, mad=0.0012/0.0215, median=6ms
iter #216: 6ms, mad=0.0012/0.0216, median=6ms
iter #217: 6ms, mad=0.0012/0.0217, median=6ms
iter #218: 6ms, mad=0.0012/0.0218, median=6ms
iter #219: 6ms, mad=0.0012/0.0219, median=6ms
iter #220: 6ms, mad=0.0012/0.0220, median=6ms
iter #221: 6ms, mad=0.0012/0.0221, median=6ms
iter #222: 6ms, mad=0.0012/0.0222, median=6ms
iter #223: 6ms, mad=0.0011/0.0223, median=6ms
iter #224: 6ms, mad=0.0011/0.0224, median=6ms
iter #225: 6ms, mad=0.0011/0.0225, median=6ms
iter #226: 6ms, mad=0.0012/0.0226, median=6ms
iter #227: 6ms, mad=0.0011/0.0227, median=6ms
iter #228: 6ms, mad=0.0011/0.0228, median=6ms
iter #229: 6ms, mad=0.0011/0.0229, median=6ms
iter #230: 6ms, mad=0.0011/0.0230, median=6ms
iter #231: 6ms, mad=0.0011/0.0231, median=6ms
iter #232: 6ms, mad=0.0011/0.0232, median=6ms
iter #233: 6ms, mad=0.0011/0.0233, median=6ms
iter #234: 6ms, mad=0.0011/0.0234, median=6ms
iter #235: 6ms, mad=0.0011/0.0235, median=6ms
iter #236: 6ms, mad=0.0011/0.0236, median=6ms
iter #237: 6ms, mad=0.0011/0.0237, median=6ms
iter #238: 6ms, mad=0.0011/0.0238, median=6ms
iter #239: 6ms, mad=0.0011/0.0239, median=6ms
iter #240: 6ms, mad=0.0011/0.0240, median=6ms
iter #241: 6ms, mad=0.0011/0.0241, median=6ms
iter #242: 6ms, mad=0.0011/0.0242, median=6ms
iter #243: 6ms, mad=0.0010/0.0243, median=6ms
iter #244: 6ms, mad=0.0010/0.0244, median=6ms
iter #245: 6ms, mad=0.0010/0.0245, median=6ms
iter #246: 6ms, mad=0.0010/0.0246, median=6ms
iter #247: 6ms, mad=0.0010/0.0247, median=6ms
iter #248: 6ms, mad=0.0010/0.0248, median=6ms
iter #249: 6ms, mad=0.0010/0.0249, median=6ms
iter #250: 6ms, mad=0.0010/0.0250, median=6ms
iter #251: 6ms, mad=0.0010/0.0251, median=6ms
iter #252: 6ms, mad=0.0010/0.0252, median=6ms
iter #253: 6ms, mad=0.0010/0.0253, median=6ms
iter #254: 6ms, mad=0.0010/0.0254, median=6ms
iter #255: 6ms, mad=0.0010/0.0255, median=6ms
iter #256: 6ms, mad=0.0009/0.0256, median=6ms
iter #257: 6ms, mad=0.0009/0.0257, median=6ms
iter #258: 6ms, mad=0.0009/0.0258, median=6ms
iter #259: 6ms, mad=0.0009/0.0259, median=6ms
iter #260: 6ms, mad=0.0010/0.0260, median=6ms
iter #261: 6ms, mad=0.0010/0.0261, median=6ms
iter #262: 6ms, mad=0.0010/0.0262, median=6ms
iter #263: 6ms, mad=0.0010/0.0263, median=6ms
iter #264: 6ms, mad=0.0010/0.0264, median=6ms
iter #265: 6ms, mad=0.0010/0.0265, median=6ms
iter #266: 6ms, mad=0.0010/0.0266, median=6ms
iter #267: 6ms, mad=0.0009/0.0267, median=6ms
iter #268: 6ms, mad=0.0009/0.0268, median=6ms
iter #269: 6ms, mad=0.0010/0.0269, median=6ms
iter #270: 6ms, mad=0.0009/0.0270, median=6ms
iter #271: 6ms, mad=0.0009/0.0271, median=6ms
iter #272: 6ms, mad=0.0009/0.0272, median=6ms
iter #273: 6ms, mad=0.0009/0.0273, median=6ms
iter #274: 6ms, mad=0.0009/0.0274, median=6ms
iter #275: 6ms, mad=0.0010/0.0275, median=6ms
iter #276: 6ms, mad=0.0010/0.0276, median=6ms
iter #277: 6ms, mad=0.0010/0.0277, median=6ms
iter #278: 6ms, mad=0.0009/0.0278, median=6ms
iter #279: 6ms, mad=0.0010/0.0279, median=6ms
iter #280: 6ms, mad=0.0009/0.0280, median=6ms
iter #281: 6ms, mad=0.0009/0.0281, median=6ms
iter #282: 6ms, mad=0.0010/0.0282, median=6ms
iter #283: 6ms, mad=0.0009/0.0283, median=6ms
iter #284: 6ms, mad=0.0009/0.0284, median=6ms
iter #285: 6ms, mad=0.0009/0.0285, median=6ms
iter #286: 6ms, mad=0.0009/0.0286, median=6ms
iter #287: 6ms, mad=0.0009/0.0287, median=6ms
iter #288: 6ms, mad=0.0010/0.0288, median=6ms
iter #289: 6ms, mad=0.0009/0.0289, median=6ms
iter #290: 6ms, mad=0.0009/0.0290, median=6ms
iter #291: 6ms, mad=0.0009/0.0291, median=6ms
iter #292: 6ms, mad=0.0009/0.0292, median=6ms
iter #293: 6ms, mad=0.0009/0.0293, median=6ms
iter #294: 6ms, mad=0.0009/0.0294, median=6ms
iter #295: 6ms, mad=0.0009/0.0295, median=6ms
iter #296: 6ms, mad=0.0009/0.0296, median=6ms
iter #297: 6ms, mad=0.0009/0.0297, median=6ms
iter #298: 6ms, mad=0.0009/0.0298, median=6ms
iter #299: 6ms, mad=0.0009/0.0299, median=6ms
iter #300: 6ms, mad=0.0009/0.0300, median=6ms
iter #301: 6ms, mad=0.0009/0.0301, median=6ms
iter #302: 6ms, mad=0.0009/0.0302, median=6ms
iter #303: 6ms, mad=0.0009/0.0303, median=6ms
iter #304: 6ms, mad=0.0009/0.0304, median=6ms
iter #305: 6ms, mad=0.0009/0.0305, median=6ms
iter #306: 6ms, mad=0.0009/0.0306, median=6ms
iter #307: 6ms, mad=0.0009/0.0307, median=6ms
iter #308: 6ms, mad=0.0009/0.0308, median=6ms
iter #309: 6ms, mad=0.0009/0.0309, median=6ms
iter #310: 6ms, mad=0.0009/0.0310, median=6ms
iter #311: 6ms, mad=0.0009/0.0311, median=6ms
iter #312: 6ms, mad=0.0009/0.0312, median=6ms
iter #313: 6ms, mad=0.0009/0.0313, median=6ms
iter #314: 6ms, mad=0.0009/0.0314, median=6ms
iter #315: 6ms, mad=0.0009/0.0315, median=6ms
iter #316: 6ms, mad=0.0009/0.0316, median=6ms
iter #317: 6ms, mad=0.0009/0.0317, median=6ms
iter #318: 6ms, mad=0.0009/0.0318, median=6ms
iter #319: 6ms, mad=0.0009/0.0319, median=6ms
iter #320: 6ms, mad=0.0009/0.0320, median=6ms
iter #321: 6ms, mad=0.0009/0.0321, median=6ms
iter #322: 6ms, mad=0.0009/0.0322, median=6ms
iter #323: 6ms, mad=0.0009/0.0323, median=6ms
iter #324: 6ms, mad=0.0009/0.0324, median=6ms
iter #325: 6ms, mad=0.0009/0.0325, median=6ms
iter #326: 6ms, mad=0.0009/0.0326, median=6ms
iter #327: 6ms, mad=0.0009/0.0327, median=6ms
iter #328: 6ms, mad=0.0009/0.0328, median=6ms
iter #329: 6ms, mad=0.0009/0.0329, median=6ms
iter #330: 6ms, mad=0.0009/0.0330, median=6ms
iter #331: 6ms, mad=0.0009/0.0331, median=6ms
iter #332: 6ms, mad=0.0009/0.0332, median=6ms
iter #333: 6ms, mad=0.0009/0.0333, median=6ms
iter #334: 6ms, mad=0.0009/0.0334, median=6ms
iter #335: 6ms, mad=0.0009/0.0335, median=6ms
iter #336: 6ms, mad=0.0009/0.0336, median=6ms
iter #337: 6ms, mad=0.0009/0.0337, median=6ms
iter #338: 6ms, mad=0.0009/0.0338, median=6ms
iter #339: 6ms, mad=0.0009/0.0339, median=6ms
iter #340: 6ms, mad=0.0009/0.0340, median=6ms
iter #341: 6ms, mad=0.0009/0.0341, median=6ms
iter #342: 6ms, mad=0.0009/0.0342, median=6ms
iter #343: 6ms, mad=0.0008/0.0343, median=6ms
iter #344: 6ms, mad=0.0008/0.0344, median=6ms
iter #345: 6ms, mad=0.0008/0.0345, median=6ms
iter #346: 6ms, mad=0.0008/0.0346, median=6ms
iter #347: 6ms, mad=0.0008/0.0347, median=6ms
iter #348: 6ms, mad=0.0009/0.0348, median=6ms
iter #349: 6ms, mad=0.0009/0.0349, median=6ms
iter #350: 6ms, mad=0.0009/0.0350, median=6ms
iter #351: 6ms, mad=0.0009/0.0351, median=6ms
iter #352: 6ms, mad=0.0009/0.0352, median=6ms
iter #353: 6ms, mad=0.0009/0.0353, median=6ms
iter #354: 6ms, mad=0.0009/0.0354, median=6ms
iter #355: 6ms, mad=0.0009/0.0355, median=6ms
iter #356: 6ms, mad=0.0008/0.0356, median=6ms
iter #357: 6ms, mad=0.0008/0.0357, median=6ms
iter #358: 6ms, mad=0.0008/0.0358, median=6ms
iter #359: 6ms, mad=0.0008/0.0359, median=6ms
iter #360: 6ms, mad=0.0008/0.0360, median=6ms
iter #361: 6ms, mad=0.0008/0.0361, median=6ms
iter #362: 6ms, mad=0.0008/0.0362, median=6ms
iter #363: 6ms, mad=0.0008/0.0363, median=6ms
iter #364: 6ms, mad=0.0008/0.0364, median=6ms
iter #365: 6ms, mad=0.0008/0.0365, median=6ms
iter #366: 6ms, mad=0.0008/0.0366, median=6ms
iter #367: 6ms, mad=0.0009/0.0367, median=6ms
iter #368: 6ms, mad=0.0008/0.0368, median=6ms
iter #369: 6ms, mad=0.0008/0.0369, median=6ms
iter #370: 6ms, mad=0.0008/0.0370, median=6ms
iter #371: 6ms, mad=0.0008/0.0371, median=6ms
iter #372: 6ms, mad=0.0008/0.0372, median=6ms
iter #373: 6ms, mad=0.0008/0.0373, median=6ms
iter #374: 6ms, mad=0.0008/0.0374, median=6ms
iter #375: 6ms, mad=0.0008/0.0375, median=6ms
iter #376: 6ms, mad=0.0008/0.0376, median=6ms
iter #377: 6ms, mad=0.0008/0.0377, median=6ms
iter #378: 6ms, mad=0.0008/0.0378, median=6ms
iter #379: 6ms, mad=0.0008/0.0379, median=6ms
iter #380: 6ms, mad=0.0008/0.0380, median=6ms
iter #381: 6ms, mad=0.0008/0.0381, median=6ms
iter #382: 6ms, mad=0.0008/0.0382, median=6ms
iter #383: 6ms, mad=0.0008/0.0383, median=6ms
iter #384: 6ms, mad=0.0008/0.0384, median=6ms
iter #385: 6ms, mad=0.0008/0.0385, median=6ms
iter #386: 6ms, mad=0.0008/0.0386, median=6ms
iter #387: 6ms, mad=0.0008/0.0387, median=6ms
iter #388: 6ms, mad=0.0008/0.0388, median=6ms
iter #389: 6ms, mad=0.0008/0.0389, median=6ms
iter #390: 6ms, mad=0.0008/0.0390, median=6ms
iter #391: 6ms, mad=0.0008/0.0391, median=6ms
iter #392: 6ms, mad=0.0008/0.0392, median=6ms
iter #393: 6ms, mad=0.0008/0.0393, median=6ms
iter #394: 6ms, mad=0.0008/0.0394, median=6ms
iter #395: 6ms, mad=0.0008/0.0395, median=6ms
iter #396: 6ms, mad=0.0008/0.0396, median=6ms
iter #397: 6ms, mad=0.0008/0.0397, median=6ms
iter #398: 6ms, mad=0.0008/0.0398, median=6ms
iter #399: 6ms, mad=0.0008/0.0399, median=6ms
iter #400: 6ms, mad=0.0008/0.0400, median=6ms
iter #401: 6ms, mad=0.0008/0.0401, median=6ms
iter #402: 6ms, mad=0.0008/0.0402, median=6ms
iter #403: 6ms, mad=0.0008/0.0403, median=6ms
iter #404: 6ms, mad=0.0008/0.0404, median=6ms
iter #405: 6ms, mad=0.0008/0.0405, median=6ms
iter #406: 6ms, mad=0.0008/0.0406, median=6ms
iter #407: 6ms, mad=0.0008/0.0407, median=6ms
iter #408: 6ms, mad=0.0008/0.0408, median=6ms
iter #409: 6ms, mad=0.0008/0.0409, median=6ms
iter #410: 6ms, mad=0.0008/0.0410, median=6ms
iter #411: 6ms, mad=0.0008/0.0411, median=6ms
iter #412: 6ms, mad=0.0008/0.0412, median=6ms
iter #413: 6ms, mad=0.0008/0.0413, median=6ms
iter #414: 6ms, mad=0.0008/0.0414, median=6ms
iter #415: 6ms, mad=0.0008/0.0415, median=6ms
iter #416: 6ms, mad=0.0008/0.0416, median=6ms
iter #417: 6ms, mad=0.0008/0.0417, median=6ms
iter #418: 6ms, mad=0.0008/0.0418, median=6ms
iter #419: 6ms, mad=0.0008/0.0419, median=6ms
iter #420: 6ms, mad=0.0008/0.0420, median=6ms
iter #421: 6ms, mad=0.0008/0.0421, median=6ms
iter #422: 6ms, mad=0.0008/0.0422, median=6ms
iter #423: 6ms, mad=0.0008/0.0423, median=6ms
iter #424: 6ms, mad=0.0008/0.0424, median=6ms
iter #425: 6ms, mad=0.0008/0.0425, median=6ms
iter #426: 6ms, mad=0.0008/0.0426, median=6ms
iter #427: 6ms, mad=0.0008/0.0427, median=6ms
iter #428: 6ms, mad=0.0008/0.0428, median=6ms
iter #429: 6ms, mad=0.0008/0.0429, median=6ms
iter #430: 6ms, mad=0.0008/0.0430, median=6ms
iter #431: 6ms, mad=0.0008/0.0431, median=6ms
iter #432: 6ms, mad=0.0008/0.0432, median=6ms
iter #433: 6ms, mad=0.0008/0.0433, median=6ms
iter #434: 6ms, mad=0.0008/0.0434, median=6ms
iter #435: 6ms, mad=0.0008/0.0435, median=6ms
iter #436: 6ms, mad=0.0008/0.0436, median=6ms
iter #437: 6ms, mad=0.0008/0.0437, median=6ms
iter #438: 6ms, mad=0.0008/0.0438, median=6ms
iter #439: 6ms, mad=0.0008/0.0439, median=6ms
iter #440: 6ms, mad=0.0008/0.0440, median=6ms
iter #441: 6ms, mad=0.0008/0.0441, median=6ms
iter #442: 6ms, mad=0.0008/0.0442, median=6ms
iter #443: 6ms, mad=0.0008/0.0443, median=6ms
iter #444: 6ms, mad=0.0008/0.0444, median=6ms
iter #445: 6ms, mad=0.0008/0.0445, median=6ms
iter #446: 6ms, mad=0.0008/0.0446, median=6ms
iter #447: 6ms, mad=0.0008/0.0447, median=6ms
iter #448: 6ms, mad=0.0008/0.0448, median=6ms
iter #449: 6ms, mad=0.0008/0.0449, median=6ms
iter #450: 6ms, mad=0.0008/0.0450, median=6ms
iter #451: 6ms, mad=0.0008/0.0451, median=6ms
iter #452: 6ms, mad=0.0008/0.0452, median=6ms
iter #453: 6ms, mad=0.0008/0.0453, median=6ms
iter #454: 6ms, mad=0.0008/0.0454, median=6ms
iter #455: 6ms, mad=0.0008/0.0455, median=6ms
iter #456: 6ms, mad=0.0008/0.0456, median=6ms
iter #457: 6ms, mad=0.0008/0.0457, median=6ms
iter #458: 6ms, mad=0.0008/0.0458, median=6ms
iter #459: 6ms, mad=0.0008/0.0459, median=6ms
iter #460: 6ms, mad=0.0008/0.0460, median=6ms
iter #461: 6ms, mad=0.0008/0.0461, median=6ms
iter #462: 6ms, mad=0.0008/0.0462, median=6ms
iter #463: 6ms, mad=0.0008/0.0463, median=6ms
iter #464: 6ms, mad=0.0008/0.0464, median=6ms
iter #465: 6ms, mad=0.0008/0.0465, median=6ms
iter #466: 6ms, mad=0.0008/0.0466, median=6ms
iter #467: 6ms, mad=0.0008/0.0467, median=6ms
iter #468: 6ms, mad=0.0008/0.0468, median=6ms
iter #469: 6ms, mad=0.0008/0.0469, median=6ms
iter #470: 6ms, mad=0.0008/0.0470, median=6ms
iter #471: 6ms, mad=0.0008/0.0471, median=6ms
iter #472: 6ms, mad=0.0008/0.0472, median=6ms
iter #473: 6ms, mad=0.0008/0.0473, median=6ms
iter #474: 6ms, mad=0.0008/0.0474, median=6ms
iter #475: 6ms, mad=0.0008/0.0475, median=6ms
iter #476: 6ms, mad=0.0008/0.0476, median=6ms
iter #477: 6ms, mad=0.0008/0.0477, median=6ms
iter #478: 6ms, mad=0.0008/0.0478, median=6ms
iter #479: 6ms, mad=0.0008/0.0479, median=6ms
iter #480: 6ms, mad=0.0008/0.0480, median=6ms
iter #481: 6ms, mad=0.0008/0.0481, median=6ms
iter #482: 6ms, mad=0.0008/0.0482, median=6ms
iter #483: 6ms, mad=0.0008/0.0483, median=6ms
iter #484: 6ms, mad=0.0008/0.0484, median=6ms
iter #485: 6ms, mad=0.0008/0.0485, median=6ms
iter #486: 6ms, mad=0.0008/0.0486, median=6ms
iter #487: 6ms, mad=0.0008/0.0487, median=6ms
iter #488: 6ms, mad=0.0008/0.0488, median=6ms
iter #489: 6ms, mad=0.0008/0.0489, median=6ms
iter #490: 6ms, mad=0.0008/0.0490, median=6ms
iter #491: 6ms, mad=0.0008/0.0491, median=6ms
iter #492: 6ms, mad=0.0008/0.0492, median=6ms
iter #493: 6ms, mad=0.0008/0.0493, median=6ms
iter #494: 6ms, mad=0.0008/0.0494, median=6ms
iter #495: 6ms, mad=0.0008/0.0495, median=6ms
iter #496: 6ms, mad=0.0008/0.0496, median=6ms
iter #497: 6ms, mad=0.0008/0.0497, median=6ms
iter #498: 6ms, mad=0.0008/0.0498, median=6ms
iter #499: 6ms, mad=0.0008/0.0499, median=6ms
iter #500: 6ms, mad=0.0008/0.0500, median=6ms
iter #501: 6ms, mad=0.0008/0.0501, median=6ms
iter #502: 6ms, mad=0.0008/0.0502, median=6ms
iter #503: 6ms, mad=0.0008/0.0503, median=6ms
iter #504: 6ms, mad=0.0008/0.0504, median=6ms
iter #505: 6ms, mad=0.0008/0.0505, median=6ms
iter #506: 6ms, mad=0.0008/0.0506, median=6ms
iter #507: 6ms, mad=0.0008/0.0507, median=6ms
iter #508: 6ms, mad=0.0008/0.0508, median=6ms
iter #509: 6ms, mad=0.0008/0.0509, median=6ms
iter #510: 6ms, mad=0.0008/0.0510, median=6ms
iter #511: 6ms, mad=0.0008/0.0511, median=6ms
iter #512: 6ms, mad=0.0008/0.0512, median=6ms
iter #513: 6ms, mad=0.0008/0.0513, median=6ms
iter #514: 6ms, mad=0.0008/0.0514, median=6ms
iter #515: 6ms, mad=0.0008/0.0515, median=6ms
iter #516: 6ms, mad=0.0008/0.0516, median=6ms
iter #517: 6ms, mad=0.0008/0.0517, median=6ms
iter #518: 6ms, mad=0.0008/0.0518, median=6ms
iter #519: 6ms, mad=0.0008/0.0519, median=6ms
iter #520: 6ms, mad=0.0008/0.0520, median=6ms
iter #521: 6ms, mad=0.0008/0.0521, median=6ms
iter #522: 6ms, mad=0.0008/0.0522, median=6ms
iter #523: 6ms, mad=0.0008/0.0523, median=6ms
iter #524: 6ms, mad=0.0008/0.0524, median=6ms
iter #525: 6ms, mad=0.0008/0.0525, median=6ms
iter #526: 6ms, mad=0.0008/0.0526, median=6ms
iter #527: 6ms, mad=0.0008/0.0527, median=6ms
iter #528: 6ms, mad=0.0008/0.0528, median=6ms
iter #529: 6ms, mad=0.0008/0.0529, median=6ms
iter #530: 6ms, mad=0.0008/0.0530, median=6ms
iter #531: 6ms, mad=0.0008/0.0531, median=6ms
iter #532: 6ms, mad=0.0008/0.0532, median=6ms
iter #533: 6ms, mad=0.0008/0.0533, median=6ms
iter #534: 6ms, mad=0.0008/0.0534, median=6ms
iter #535: 6ms, mad=0.0008/0.0535, median=6ms
iter #536: 6ms, mad=0.0008/0.0536, median=6ms
iter #537: 6ms, mad=0.0008/0.0537, median=6ms
iter #538: 6ms, mad=0.0008/0.0538, median=6ms
iter #539: 6ms, mad=0.0008/0.0539, median=6ms
iter #540: 6ms, mad=0.0008/0.0540, median=6ms
iter #541: 6ms, mad=0.0008/0.0541, median=6ms
iter #542: 6ms, mad=0.0008/0.0542, median=6ms
iter #543: 6ms, mad=0.0008/0.0543, median=6ms
iter #544: 6ms, mad=0.0008/0.0544, median=6ms
iter #545: 6ms, mad=0.0008/0.0545, median=6ms
iter #546: 6ms, mad=0.0008/0.0546, median=6ms
ZJIT stats:
code_region_bytes:      4,820,992
zjit_alloc_bytes:       3,115,596
compile_time             550.15ms
profile_time               2.91ms
gc_time                    0.00ms
invalidation_time          0.00ms
RSS: 41.0MiB
MAXRSS: 41.2MiB
RSS sampled (n=273): median 40.3MiB ± 0.2MiB (MAD), range [40.0, 41.1]MiB
Benchmarking took 0 minutes 5 seconds
Statistics for the second half of iterations (considered warmed up):
median: 6ms +/- 0.004ms (0.06%) (median absolute deviation)
mean:   6ms +/- 0.008ms (0.14%) (standard deviation)
range: [6-6]ms
Running benchmark "30k_variables" (1/1)
+ setarch x86_64 -R /opt/rubies/jruby-10.1.1.0/bin/ruby -Xcompile.invokedynamic\=true -J-XX:+UseParallelGC -I harness-warmup /home/k0kubun/src/github.com/ruby/ruby-bench/benchmarks/30k_variables.rb
jruby 10.1.1.0 (4.0.0) 2026-07-22 aaa95d57e1 OpenJDK 64-Bit Server VM 21.0.12+8-1-24.04-Ubuntu on 21.0.12+8-1-24.04-Ubuntu +indy +jit [x86_64-linux]
iter #  1: 8455ms, mad=0.0000/0.0000, median=8455ms
iter #  2: 11614ms, mad=0.1574/0.0000, median=10035ms
iter #  3: 11396ms, mad=0.0192/0.0000, median=11396ms
iter #  4: 6914ms, mad=0.1591/0.0000, median=9925ms
iter #  5: 2360ms, mad=0.3478/0.0000, median=8455ms
iter #  6: 513ms, mad=0.4972/0.0000, median=7684ms
iter #  7: 202ms, mad=0.6586/0.0000, median=6914ms
iter #  8: 208ms, mad=0.9221/0.0000, median=4637ms
iter #  9: 206ms, mad=0.9141/0.0000, median=2360ms
iter # 10: 206ms, mad=0.8577/0.0010, median=1437ms
iter # 11: 204ms, mad=0.6051/0.0011, median=513ms
iter # 12: 205ms, mad=0.4358/0.0012, median=361ms
iter # 13: 197ms, mad=0.0513/0.0013, median=208ms
iter # 14: 201ms, mad=0.0372/0.0014, median=207ms
iter # 15: 244ms, mad=0.0513/0.0015, median=208ms
iter # 16: 203ms, mad=0.0372/0.0016, median=207ms
iter # 17: 199ms, mad=0.0350/0.0017, median=206ms
iter # 18: 197ms, mad=0.0377/0.0018, median=206ms
iter # 19: 204ms, mad=0.0335/0.0019, median=206ms
iter # 20: 207ms, mad=0.0281/0.0020, median=206ms
iter # 21: 203ms, mad=0.0213/0.0021, median=206ms
iter # 22: 193ms, mad=0.0252/0.0022, median=205ms
iter # 23: 206ms, mad=0.0213/0.0023, median=206ms
iter # 24: 199ms, mad=0.0252/0.0024, median=205ms
iter # 25: 201ms, mad=0.0169/0.0025, median=205ms
iter # 26: 206ms, mad=0.0190/0.0026, median=205ms
iter # 27: 5189ms, mad=0.0213/0.0027, median=206ms
iter # 28: 2103ms, mad=0.0281/0.0028, median=206ms
iter # 29: 2043ms, mad=0.0349/0.0029, median=206ms
iter # 30: 1841ms, mad=0.0350/0.0030, median=206ms
iter # 31: 1529ms, mad=0.0351/0.0031, median=206ms
iter # 32: 1292ms, mad=0.0389/0.0032, median=206ms
iter # 33: 1099ms, mad=0.0428/0.0033, median=206ms
iter # 34: 859ms, mad=0.0455/0.0034, median=206ms
iter # 35: 662ms, mad=0.0482/0.0035, median=207ms
iter # 36: 466ms, mad=0.0612/0.0036, median=207ms
iter # 37: 326ms, mad=0.0741/0.0037, median=208ms
iter # 38: 336ms, mad=0.1389/0.0038, median=226ms
iter # 39: 324ms, mad=0.2113/0.0039, median=244ms
iter # 40: 321ms, mad=0.2959/0.0040, median=282ms
iter # 41: 328ms, mad=0.3795/0.0041, median=321ms
iter # 42: 335ms, mad=0.3785/0.0042, median=322ms
iter # 43: 328ms, mad=0.3775/0.0043, median=324ms
iter # 44: 334ms, mad=0.3802/0.0044, median=325ms
iter # 45: 337ms, mad=0.3829/0.0045, median=326ms
iter # 46: 327ms, mad=0.3817/0.0046, median=327ms
iter # 47: 337ms, mad=0.3805/0.0047, median=327ms
iter # 48: 335ms, mad=0.3810/0.0048, median=327ms
iter # 49: 328ms, mad=0.3815/0.0049, median=328ms
iter # 50: 327ms, mad=0.3800/0.0050, median=327ms
iter # 51: 5060ms, mad=0.3815/0.0051, median=328ms
iter # 52: 3803ms, mad=0.3822/0.0052, median=328ms
iter # 53: 1516ms, mad=0.3829/0.0053, median=328ms
iter # 54: 454ms, mad=0.3824/0.0054, median=328ms
iter # 55: 257ms, mad=0.3820/0.0055, median=328ms
iter # 56: 246ms, mad=0.3821/0.0056, median=328ms
iter # 57: 248ms, mad=0.3815/0.0057, median=328ms
iter # 58: 247ms, mad=0.3800/0.0058, median=327ms
iter # 59: 250ms, mad=0.3785/0.0059, median=327ms
iter # 60: 251ms, mad=0.3774/0.0060, median=327ms
iter # 61: 254ms, mad=0.3763/0.0061, median=327ms
iter # 62: 272ms, mad=0.3752/0.0062, median=327ms
iter # 63: 254ms, mad=0.3741/0.0063, median=326ms
iter # 64: 252ms, mad=0.3705/0.0064, median=325ms
iter # 65: 245ms, mad=0.3668/0.0065, median=324ms
iter # 66: 249ms, mad=0.3624/0.0066, median=322ms
iter # 67: 256ms, mad=0.3580/0.0067, median=321ms
iter # 68: 255ms, mad=0.3046/0.0068, median=296ms
iter # 69: 255ms, mad=0.2415/0.0069, median=272ms
iter # 70: 255ms, mad=0.2383/0.0070, median=264ms
iter # 71: 255ms, mad=0.2341/0.0071, median=257ms
iter # 72: 255ms, mad=0.2320/0.0072, median=257ms
iter # 73: 256ms, mad=0.2301/0.0073, median=256ms
iter # 74: 249ms, mad=0.2273/0.0074, median=256ms
iter # 75: 248ms, mad=0.2245/0.0075, median=256ms
iter # 76: 251ms, mad=0.2230/0.0076, median=256ms
iter # 77: 251ms, mad=0.2216/0.0077, median=255ms
iter # 78: 255ms, mad=0.2164/0.0078, median=255ms
iter # 79: 249ms, mad=0.2111/0.0079, median=255ms
iter # 80: 245ms, mad=0.2110/0.0080, median=255ms
iter # 81: 268ms, mad=0.2109/0.0081, median=255ms
iter # 82: 242ms, mad=0.2087/0.0082, median=255ms
iter # 83: 240ms, mad=0.2065/0.0083, median=255ms
iter # 84: 252ms, mad=0.2057/0.0084, median=255ms
iter # 85: 249ms, mad=0.2050/0.0085, median=255ms
iter # 86: 243ms, mad=0.2040/0.0086, median=255ms
iter # 87: 244ms, mad=0.2029/0.0087, median=255ms
iter # 88: 244ms, mad=0.2014/0.0088, median=255ms
iter # 89: 245ms, mad=0.1999/0.0089, median=255ms
iter # 90: 247ms, mad=0.1980/0.0090, median=254ms
iter # 91: 244ms, mad=0.1961/0.0091, median=254ms
iter # 92: 251ms, mad=0.1946/0.0092, median=254ms
iter # 93: 252ms, mad=0.1931/0.0093, median=254ms
iter # 94: 253ms, mad=0.1902/0.0094, median=253ms
iter # 95: 252ms, mad=0.1873/0.0095, median=253ms
iter # 96: 251ms, mad=0.1854/0.0096, median=253ms
iter # 97: 253ms, mad=0.1861/0.0097, median=253ms
iter # 98: 252ms, mad=0.1850/0.0098, median=253ms
iter # 99: 247ms, mad=0.1838/0.0099, median=252ms
iter #100: 245ms, mad=0.1833/0.0100, median=252ms
iter #101: 248ms, mad=0.1827/0.0101, median=252ms
iter #102: 253ms, mad=0.1817/0.0102, median=252ms
iter #103: 248ms, mad=0.1802/0.0103, median=252ms
iter #104: 249ms, mad=0.1777/0.0104, median=252ms
iter #105: 252ms, mad=0.1751/0.0105, median=252ms
iter #106: 254ms, mad=0.1259/0.0106, median=252ms
iter #107: 245ms, mad=0.0769/0.0107, median=252ms
iter #108: 247ms, mad=0.0696/0.0108, median=252ms
iter #109: 253ms, mad=0.0623/0.0109, median=252ms
iter #110: 255ms, mad=0.0556/0.0110, median=252ms
iter #111: 254ms, mad=0.0492/0.0111, median=252ms
iter #112: 246ms, mad=0.0454/0.0112, median=252ms
iter #113: 238ms, mad=0.0489/0.0113, median=252ms
iter #114: 253ms, mad=0.0454/0.0114, median=252ms
iter #115: 251ms, mad=0.0417/0.0115, median=252ms
iter #116: 252ms, mad=0.0401/0.0116, median=252ms
iter #117: 249ms, mad=0.0383/0.0117, median=252ms
iter #118: 245ms, mad=0.0364/0.0118, median=252ms
iter #119: 254ms, mad=0.0345/0.0119, median=252ms
iter #120: 240ms, mad=0.0364/0.0120, median=252ms
iter #121: 252ms, mad=0.0345/0.0121, median=252ms
iter #122: 248ms, mad=0.0332/0.0122, median=252ms
iter #123: 245ms, mad=0.0319/0.0123, median=252ms
iter #124: 250ms, mad=0.0315/0.0124, median=252ms
iter #125: 248ms, mad=0.0310/0.0125, median=252ms
iter #126: 244ms, mad=0.0309/0.0126, median=252ms
iter #127: 250ms, mad=0.0307/0.0127, median=252ms
iter #128: 253ms, mad=0.0305/0.0128, median=252ms
iter #129: 253ms, mad=0.0303/0.0129, median=252ms
iter #130: 255ms, mad=0.0302/0.0130, median=252ms
iter #131: 249ms, mad=0.0292/0.0131, median=252ms
iter #132: 245ms, mad=0.0289/0.0132, median=252ms
iter #133: 245ms, mad=0.0289/0.0133, median=252ms
iter #134: 244ms, mad=0.0278/0.0134, median=252ms
iter #135: 251ms, mad=0.0266/0.0135, median=251ms
iter #136: 256ms, mad=0.0276/0.0136, median=252ms
iter #137: 252ms, mad=0.0277/0.0137, median=252ms
iter #138: 239ms, mad=0.0271/0.0138, median=251ms
iter #139: 251ms, mad=0.0268/0.0139, median=251ms
iter #140: 248ms, mad=0.0264/0.0140, median=251ms
iter #141: 249ms, mad=0.0260/0.0141, median=251ms
iter #142: 252ms, mad=0.0258/0.0142, median=251ms
iter #143: 251ms, mad=0.0255/0.0143, median=251ms
iter #144: 251ms, mad=0.0255/0.0144, median=251ms
iter #145: 252ms, mad=0.0256/0.0145, median=251ms
iter #146: 243ms, mad=0.0255/0.0146, median=251ms
iter #147: 243ms, mad=0.0255/0.0147, median=251ms
iter #148: 243ms, mad=0.0258/0.0148, median=251ms
iter #149: 242ms, mad=0.0260/0.0149, median=251ms
iter #150: 240ms, mad=0.0261/0.0150, median=251ms
iter #151: 254ms, mad=0.0260/0.0151, median=251ms
iter #152: 254ms, mad=0.0258/0.0152, median=251ms
iter #153: 248ms, mad=0.0249/0.0153, median=251ms
iter #154: 249ms, mad=0.0248/0.0154, median=251ms
iter #155: 246ms, mad=0.0246/0.0155, median=251ms
iter #156: 253ms, mad=0.0245/0.0156, median=251ms
iter #157: 252ms, mad=0.0245/0.0157, median=251ms
iter #158: 248ms, mad=0.0238/0.0158, median=251ms
iter #159: 243ms, mad=0.0243/0.0159, median=251ms
iter #160: 245ms, mad=0.0243/0.0160, median=251ms
iter #161: 249ms, mad=0.0242/0.0161, median=251ms
iter #162: 251ms, mad=0.0238/0.0162, median=251ms
iter #163: 250ms, mad=0.0235/0.0163, median=251ms
iter #164: 250ms, mad=0.0233/0.0164, median=251ms
iter #165: 251ms, mad=0.0228/0.0165, median=251ms
iter #166: 251ms, mad=0.0227/0.0166, median=251ms
iter #167: 253ms, mad=0.0227/0.0167, median=251ms
iter #168: 252ms, mad=0.0223/0.0168, median=251ms
iter #169: 246ms, mad=0.0219/0.0169, median=251ms
iter #170: 252ms, mad=0.0218/0.0170, median=251ms
iter #171: 242ms, mad=0.0219/0.0171, median=251ms
iter #172: 246ms, mad=0.0217/0.0172, median=251ms
iter #173: 244ms, mad=0.0216/0.0173, median=251ms
iter #174: 245ms, mad=0.0218/0.0174, median=251ms
iter #175: 244ms, mad=0.0220/0.0175, median=251ms
iter #176: 244ms, mad=0.0220/0.0176, median=251ms
iter #177: 254ms, mad=0.0220/0.0177, median=251ms
iter #178: 253ms, mad=0.0218/0.0178, median=251ms
iter #179: 255ms, mad=0.0216/0.0179, median=251ms
iter #180: 253ms, mad=0.0217/0.0180, median=251ms
iter #181: 252ms, mad=0.0217/0.0181, median=251ms
iter #182: 250ms, mad=0.0216/0.0182, median=251ms
iter #183: 251ms, mad=0.0215/0.0183, median=251ms
iter #184: 252ms, mad=0.0213/0.0184, median=251ms
iter #185: 249ms, mad=0.0211/0.0185, median=251ms
iter #186: 255ms, mad=0.0209/0.0186, median=251ms
iter #187: 253ms, mad=0.0207/0.0187, median=251ms
iter #188: 245ms, mad=0.0209/0.0188, median=251ms
iter #189: 242ms, mad=0.0211/0.0189, median=251ms
iter #190: 245ms, mad=0.0213/0.0190, median=251ms
iter #191: 244ms, mad=0.0213/0.0191, median=251ms
iter #192: 244ms, mad=0.0213/0.0192, median=251ms
iter #193: 245ms, mad=0.0214/0.0193, median=251ms
iter #194: 246ms, mad=0.0212/0.0194, median=251ms
iter #195: 244ms, mad=0.0210/0.0195, median=251ms
iter #196: 247ms, mad=0.0207/0.0196, median=251ms
iter #197: 255ms, mad=0.0205/0.0197, median=251ms
iter #198: 252ms, mad=0.0209/0.0198, median=251ms
iter #199: 249ms, mad=0.0203/0.0199, median=251ms
iter #200: 251ms, mad=0.0207/0.0200, median=251ms
iter #201: 249ms, mad=0.0202/0.0201, median=251ms
iter #202: 253ms, mad=0.0206/0.0202, median=251ms
iter #203: 247ms, mad=0.0201/0.0203, median=251ms
RSS: 849.8MiB
MAXRSS: 851.8MiB
RSS sampled (n=102): median 849.3MiB ± 0.1MiB (MAD), range [849.1, 849.8]MiB
Benchmarking took 1 minutes 56 seconds
Statistics for the second half of iterations (considered warmed up):
median: 249ms +/- 3.709ms (1.49%) (median absolute deviation)
mean:   249ms +/- 4.218ms (1.69%) (standard deviation)
range: [238-256]ms
Running benchmark "30k_variables" (1/1)
+ setarch x86_64 -R /opt/rubies/truffleruby-graalvm-34.0.1/bin/ruby --jvm -I harness-warmup /home/k0kubun/src/github.com/ruby/ruby-bench/benchmarks/30k_variables.rb
truffleruby 34.0.1 (2026-04-26), like ruby 3.4.9, Oracle GraalVM JVM [x86_64-linux]
iter #  1: 1727ms, mad=0.0000/0.0000, median=1727ms
iter #  2: 309ms, mad=0.6962/0.0000, median=1018ms
iter #  3: 181ms, mad=0.4146/0.0000, median=309ms
iter #  4: 170ms, mad=0.2830/0.0000, median=245ms
iter #  5: 184ms, mad=0.0749/0.0000, median=184ms
iter #  6: 148ms, mad=0.1280/0.0000, median=182ms
iter #  7: 139ms, mad=0.1821/0.0000, median=181ms
iter #  8: 129ms, mad=0.1814/0.0000, median=175ms
iter #  9: 125ms, mad=0.1807/0.0000, median=170ms
iter # 10: 115ms, mad=0.1727/0.0010, median=159ms
iter # 11: 108ms, mad=0.2204/0.0011, median=148ms
iter # 12: 116ms, mad=0.1954/0.0012, median=143ms
iter # 13: 98ms, mad=0.2205/0.0013, median=139ms
iter # 14: 98ms, mad=0.2297/0.0014, median=134ms
iter # 15: 100ms, mad=0.2219/0.0015, median=129ms
iter # 16: 98ms, mad=0.2174/0.0016, median=127ms
iter # 17: 98ms, mad=0.2129/0.0017, median=125ms
iter # 18: 98ms, mad=0.1834/0.0018, median=120ms
iter # 19: 101ms, mad=0.1497/0.0019, median=116ms
iter # 20: 99ms, mad=0.1471/0.0020, median=115ms
iter # 21: 99ms, mad=0.1444/0.0021, median=115ms
iter # 22: 98ms, mad=0.1182/0.0022, median=112ms
iter # 23: 101ms, mad=0.0899/0.0023, median=108ms
iter # 24: 106ms, mad=0.0806/0.0024, median=107ms
iter # 25: 99ms, mad=0.0711/0.0025, median=106ms
iter # 26: 98ms, mad=0.0495/0.0026, median=103ms
iter # 27: 101ms, mad=0.0328/0.0027, median=101ms
iter # 28: 99ms, mad=0.0299/0.0028, median=101ms
iter # 29: 99ms, mad=0.0269/0.0029, median=101ms
iter # 30: 99ms, mad=0.0264/0.0030, median=101ms
iter # 31: 96ms, mad=0.0260/0.0031, median=101ms
iter # 32: 96ms, mad=0.0239/0.0032, median=101ms
iter # 33: 96ms, mad=0.0217/0.0033, median=100ms
iter # 34: 98ms, mad=0.0169/0.0034, median=99ms
iter # 35: 96ms, mad=0.0256/0.0035, median=99ms
iter # 36: 98ms, mad=0.0241/0.0036, median=99ms
iter # 37: 96ms, mad=0.0257/0.0037, median=99ms
iter # 38: 97ms, mad=0.0248/0.0038, median=99ms
iter # 39: 96ms, mad=0.0240/0.0039, median=99ms
iter # 40: 96ms, mad=0.0238/0.0040, median=99ms
iter # 41: 96ms, mad=0.0237/0.0041, median=99ms
iter # 42: 100ms, mad=0.0237/0.0042, median=99ms
iter # 43: 96ms, mad=0.0237/0.0043, median=99ms
iter # 44: 97ms, mad=0.0237/0.0044, median=99ms
iter # 45: 96ms, mad=0.0237/0.0045, median=99ms
iter # 46: 97ms, mad=0.0237/0.0046, median=99ms
iter # 47: 95ms, mad=0.0237/0.0047, median=99ms
iter # 48: 95ms, mad=0.0238/0.0048, median=99ms
iter # 49: 98ms, mad=0.0233/0.0049, median=98ms
iter # 50: 96ms, mad=0.0232/0.0050, median=98ms
iter # 51: 96ms, mad=0.0231/0.0051, median=98ms
iter # 52: 17ms, mad=0.0231/0.0052, median=98ms
iter # 53: 16ms, mad=0.0231/0.0053, median=98ms
iter # 54: 14ms, mad=0.0232/0.0054, median=98ms
iter # 55: 14ms, mad=0.0233/0.0055, median=98ms
iter # 56: 14ms, mad=0.0234/0.0056, median=98ms
iter # 57: 15ms, mad=0.0235/0.0057, median=98ms
iter # 58: 14ms, mad=0.0239/0.0058, median=98ms
iter # 59: 14ms, mad=0.0242/0.0059, median=98ms
iter # 60: 14ms, mad=0.0254/0.0060, median=98ms
iter # 61: 14ms, mad=0.0267/0.0061, median=98ms
iter # 62: 15ms, mad=0.0269/0.0062, median=98ms
iter # 63: 14ms, mad=0.0269/0.0063, median=98ms
iter # 64: 14ms, mad=0.0258/0.0064, median=98ms
iter # 65: 14ms, mad=0.0247/0.0065, median=98ms
iter # 66: 15ms, mad=0.0243/0.0066, median=98ms
iter # 67: 14ms, mad=0.0259/0.0067, median=98ms
iter # 68: 14ms, mad=0.0278/0.0068, median=98ms
iter # 69: 14ms, mad=0.0297/0.0069, median=97ms
iter # 70: 15ms, mad=0.0324/0.0070, median=97ms
iter # 71: 14ms, mad=0.0350/0.0071, median=97ms
iter # 72: 14ms, mad=0.0394/0.0072, median=97ms
iter # 73: 14ms, mad=0.0439/0.0073, median=97ms
iter # 74: 15ms, mad=0.0470/0.0074, median=97ms
iter # 75: 14ms, mad=0.0502/0.0075, median=96ms
iter # 76: 14ms, mad=0.0736/0.0076, median=96ms
iter # 77: 14ms, mad=0.0970/0.0077, median=96ms
iter # 78: 16ms, mad=0.1096/0.0078, median=96ms
iter # 79: 37ms, mad=0.1223/0.0079, median=96ms
iter # 80: 24ms, mad=0.1583/0.0080, median=96ms
iter # 81: 15ms, mad=0.1943/0.0081, median=96ms
iter # 82: 14ms, mad=0.1986/0.0082, median=96ms
iter # 83: 15ms, mad=0.2029/0.0083, median=96ms
iter # 84: 14ms, mad=0.2527/0.0084, median=96ms
iter # 85: 14ms, mad=0.3024/0.0085, median=96ms
iter # 86: 14ms, mad=0.3212/0.0086, median=96ms
iter # 87: 14ms, mad=0.3399/0.0087, median=96ms
iter # 88: 15ms, mad=0.3943/0.0088, median=96ms
iter # 89: 14ms, mad=0.4488/0.0089, median=96ms
iter # 90: 14ms, mad=0.4928/0.0090, median=96ms
iter # 91: 15ms, mad=0.5369/0.0091, median=96ms
iter # 92: 14ms, mad=0.5749/0.0092, median=96ms
iter # 93: 15ms, mad=0.6101/0.0093, median=96ms
iter # 94: 14ms, mad=0.6754/0.0094, median=96ms
iter # 95: 14ms, mad=0.7407/0.0095, median=96ms
iter # 96: 14ms, mad=0.7586/0.0096, median=96ms
iter # 97: 14ms, mad=0.7764/0.0097, median=96ms
iter # 98: 15ms, mad=0.7967/0.0098, median=95ms
iter # 99: 14ms, mad=0.8163/0.0099, median=95ms
iter #100: 14ms, mad=0.8214/0.0100, median=95ms
iter #101: 14ms, mad=0.8266/0.0101, median=95ms
iter #102: 14ms, mad=0.7649/0.0102, median=66ms
iter #103: 15ms, mad=0.6220/0.0103, median=37ms
iter #104: 14ms, mad=0.5470/0.0104, median=31ms
iter #105: 14ms, mad=0.4341/0.0105, median=24ms
iter #106: 14ms, mad=0.3368/0.0106, median=21ms
iter #107: 14ms, mad=0.2008/0.0107, median=17ms
iter #108: 16ms, mad=0.1768/0.0108, median=17ms
iter #109: 14ms, mad=0.1512/0.0109, median=16ms
iter #110: 14ms, mad=0.1401/0.0110, median=16ms
iter #111: 14ms, mad=0.1270/0.0111, median=16ms
iter #112: 14ms, mad=0.1265/0.0112, median=16ms
iter #113: 16ms, mad=0.1259/0.0113, median=16ms
iter #114: 14ms, mad=0.1228/0.0114, median=16ms
iter #115: 14ms, mad=0.1197/0.0115, median=16ms
iter #116: 14ms, mad=0.1128/0.0116, median=15ms
iter #117: 14ms, mad=0.1060/0.0117, median=15ms
iter #118: 15ms, mad=0.1046/0.0118, median=15ms
iter #119: 14ms, mad=0.1031/0.0119, median=15ms
iter #120: 14ms, mad=0.1011/0.0120, median=15ms
iter #121: 14ms, mad=0.0990/0.0121, median=15ms
iter #122: 14ms, mad=0.0959/0.0122, median=15ms
iter #123: 15ms, mad=0.0927/0.0123, median=15ms
iter #124: 14ms, mad=0.0920/0.0124, median=15ms
iter #125: 14ms, mad=0.0919/0.0125, median=15ms
iter #126: 14ms, mad=0.0915/0.0126, median=15ms
iter #127: 14ms, mad=0.0916/0.0127, median=15ms
iter #128: 15ms, mad=0.0911/0.0128, median=15ms
iter #129: 14ms, mad=0.0906/0.0129, median=15ms
iter #130: 14ms, mad=0.0897/0.0130, median=15ms
iter #131: 14ms, mad=0.0888/0.0131, median=15ms
iter #132: 14ms, mad=0.0885/0.0132, median=15ms
iter #133: 16ms, mad=0.0883/0.0133, median=15ms
iter #134: 14ms, mad=0.0885/0.0134, median=15ms
iter #135: 14ms, mad=0.0888/0.0135, median=15ms
iter #136: 14ms, mad=0.0879/0.0136, median=15ms
iter #137: 14ms, mad=0.0871/0.0137, median=15ms
iter #138: 16ms, mad=0.0879/0.0138, median=15ms
iter #139: 14ms, mad=0.0871/0.0139, median=15ms
iter #140: 14ms, mad=0.0866/0.0140, median=15ms
iter #141: 14ms, mad=0.0856/0.0141, median=15ms
iter #142: 14ms, mad=0.0849/0.0142, median=15ms
iter #143: 16ms, mad=0.0849/0.0143, median=15ms
iter #144: 14ms, mad=0.0843/0.0144, median=15ms
iter #145: 14ms, mad=0.0837/0.0145, median=15ms
iter #146: 14ms, mad=0.0817/0.0146, median=15ms
iter #147: 14ms, mad=0.0798/0.0147, median=15ms
iter #148: 16ms, mad=0.0813/0.0148, median=15ms
iter #149: 14ms, mad=0.0798/0.0149, median=15ms
iter #150: 14ms, mad=0.0777/0.0150, median=15ms
iter #151: 14ms, mad=0.0756/0.0151, median=15ms
iter #152: 14ms, mad=0.0750/0.0152, median=15ms
iter #153: 16ms, mad=0.0749/0.0153, median=15ms
iter #154: 35ms, mad=0.0773/0.0154, median=15ms
iter #155: 33ms, mad=0.0799/0.0155, median=15ms
iter #156: 14ms, mad=0.0778/0.0156, median=15ms
iter #157: 14ms, mad=0.0756/0.0157, median=15ms
iter #158: 14ms, mad=0.0750/0.0158, median=15ms
iter #159: 14ms, mad=0.0744/0.0159, median=15ms
iter #160: 69ms, mad=0.0750/0.0160, median=15ms
iter #161: 8ms, mad=0.0751/0.0161, median=15ms
iter #162: 7ms, mad=0.0556/0.0162, median=14ms
iter #163: 7ms, mad=0.0637/0.0163, median=14ms
iter #164: 7ms, mad=0.0667/0.0164, median=14ms
iter #165: 7ms, mad=0.0697/0.0165, median=14ms
iter #166: 7ms, mad=0.0716/0.0166, median=14ms
iter #167: 7ms, mad=0.0734/0.0167, median=14ms
iter #168: 7ms, mad=0.0747/0.0168, median=14ms
iter #169: 7ms, mad=0.0759/0.0169, median=14ms
iter #170: 7ms, mad=0.0775/0.0170, median=14ms
iter #171: 8ms, mad=0.0790/0.0171, median=14ms
iter #172: 7ms, mad=0.0793/0.0172, median=14ms
iter #173: 7ms, mad=0.0797/0.0173, median=14ms
iter #174: 7ms, mad=0.0806/0.0174, median=14ms
iter #175: 7ms, mad=0.0815/0.0175, median=14ms
iter #176: 7ms, mad=0.0818/0.0176, median=14ms
iter #177: 7ms, mad=0.0821/0.0177, median=14ms
iter #178: 7ms, mad=0.0828/0.0178, median=14ms
iter #179: 7ms, mad=0.0836/0.0179, median=14ms
iter #180: 7ms, mad=0.0848/0.0180, median=14ms
iter #181: 7ms, mad=0.0859/0.0181, median=14ms
iter #182: 7ms, mad=0.0898/0.0182, median=14ms
iter #183: 8ms, mad=0.0936/0.0183, median=14ms
iter #184: 7ms, mad=0.0937/0.0184, median=14ms
iter #185: 7ms, mad=0.0938/0.0185, median=14ms
iter #186: 7ms, mad=0.0956/0.0186, median=14ms
iter #187: 7ms, mad=0.0975/0.0187, median=14ms
iter #188: 7ms, mad=0.1038/0.0188, median=14ms
iter #189: 7ms, mad=0.1102/0.0189, median=14ms
iter #190: 7ms, mad=0.1125/0.0190, median=14ms
iter #191: 7ms, mad=0.1148/0.0191, median=14ms
iter #192: 7ms, mad=0.1174/0.0192, median=14ms
iter #193: 7ms, mad=0.1199/0.0193, median=14ms
iter #194: 7ms, mad=0.1205/0.0194, median=14ms
iter #195: 8ms, mad=0.1210/0.0195, median=14ms
iter #196: 7ms, mad=0.1212/0.0196, median=14ms
iter #197: 7ms, mad=0.1214/0.0197, median=14ms
iter #198: 7ms, mad=0.1222/0.0198, median=14ms
iter #199: 7ms, mad=0.1229/0.0199, median=14ms
iter #200: 7ms, mad=0.1249/0.0200, median=14ms
iter #201: 7ms, mad=0.1270/0.0201, median=14ms
iter #202: 7ms, mad=0.1341/0.0202, median=14ms
iter #203: 7ms, mad=0.1412/0.0203, median=14ms
iter #204: 7ms, mad=0.1479/0.0204, median=14ms
iter #205: 7ms, mad=0.1547/0.0205, median=14ms
iter #206: 7ms, mad=0.1895/0.0206, median=14ms
iter #207: 8ms, mad=0.2244/0.0207, median=14ms
iter #208: 7ms, mad=0.3148/0.0208, median=14ms
iter #209: 7ms, mad=0.4047/0.0209, median=14ms
iter #210: 7ms, mad=0.4126/0.0210, median=14ms
iter #211: 7ms, mad=0.4206/0.0211, median=14ms
iter #212: 7ms, mad=0.4232/0.0212, median=14ms
iter #213: 7ms, mad=0.4258/0.0213, median=14ms
iter #214: 7ms, mad=0.4284/0.0214, median=14ms
iter #215: 7ms, mad=0.4310/0.0215, median=14ms
iter #216: 7ms, mad=0.4341/0.0216, median=14ms
iter #217: 7ms, mad=0.4371/0.0217, median=14ms
iter #218: 7ms, mad=0.4687/0.0218, median=14ms
iter #219: 7ms, mad=0.5003/0.0219, median=14ms
iter #220: 8ms, mad=0.4685/0.0220, median=14ms
iter #221: 7ms, mad=0.5002/0.0221, median=14ms
iter #222: 7ms, mad=0.5003/0.0222, median=14ms
iter #223: 7ms, mad=0.5004/0.0223, median=14ms
iter #224: 7ms, mad=0.5003/0.0224, median=14ms
iter #225: 7ms, mad=0.5002/0.0225, median=14ms
iter #226: 7ms, mad=0.5006/0.0226, median=14ms
iter #227: 7ms, mad=0.5010/0.0227, median=14ms
iter #228: 7ms, mad=0.5010/0.0228, median=14ms
iter #229: 7ms, mad=0.5010/0.0229, median=14ms
iter #230: 7ms, mad=0.5011/0.0230, median=14ms
iter #231: 7ms, mad=0.5013/0.0231, median=14ms
iter #232: 8ms, mad=0.5010/0.0232, median=14ms
iter #233: 7ms, mad=0.5007/0.0233, median=14ms
iter #234: 7ms, mad=0.5008/0.0234, median=14ms
iter #235: 7ms, mad=0.5009/0.0235, median=14ms
iter #236: 7ms, mad=0.5008/0.0236, median=14ms
iter #237: 7ms, mad=0.5007/0.0237, median=14ms
iter #238: 7ms, mad=0.5006/0.0238, median=14ms
iter #239: 7ms, mad=0.5005/0.0239, median=14ms
iter #240: 7ms, mad=0.5005/0.0240, median=14ms
iter #241: 7ms, mad=0.5005/0.0241, median=14ms
iter #242: 7ms, mad=0.5004/0.0242, median=14ms
iter #243: 7ms, mad=0.5003/0.0243, median=14ms
iter #244: 8ms, mad=0.5002/0.0244, median=14ms
iter #245: 7ms, mad=0.5002/0.0245, median=14ms
iter #246: 7ms, mad=0.5002/0.0246, median=14ms
iter #247: 7ms, mad=0.5003/0.0247, median=14ms
iter #248: 7ms, mad=0.5003/0.0248, median=14ms
iter #249: 7ms, mad=0.5003/0.0249, median=14ms
iter #250: 7ms, mad=0.5006/0.0250, median=14ms
iter #251: 7ms, mad=0.5008/0.0251, median=14ms
iter #252: 7ms, mad=0.5008/0.0252, median=14ms
iter #253: 7ms, mad=0.5008/0.0253, median=14ms
iter #254: 7ms, mad=0.5007/0.0254, median=14ms
iter #255: 7ms, mad=0.5006/0.0255, median=14ms
iter #256: 8ms, mad=0.5006/0.0256, median=14ms
iter #257: 7ms, mad=0.5006/0.0257, median=14ms
iter #258: 8ms, mad=0.5005/0.0258, median=14ms
iter #259: 7ms, mad=0.5006/0.0259, median=14ms
iter #260: 7ms, mad=0.5006/0.0260, median=14ms
iter #261: 7ms, mad=0.5006/0.0261, median=14ms
iter #262: 7ms, mad=0.5006/0.0262, median=14ms
iter #263: 7ms, mad=0.5007/0.0263, median=14ms
iter #264: 7ms, mad=0.5006/0.0264, median=14ms
iter #265: 7ms, mad=0.5004/0.0265, median=14ms
iter #266: 7ms, mad=0.5004/0.0266, median=14ms
iter #267: 7ms, mad=0.5004/0.0267, median=14ms
iter #268: 7ms, mad=0.5004/0.0268, median=14ms
iter #269: 8ms, mad=0.5002/0.0269, median=14ms
iter #270: 7ms, mad=0.5003/0.0270, median=14ms
iter #271: 7ms, mad=0.5003/0.0271, median=14ms
iter #272: 7ms, mad=0.5004/0.0272, median=14ms
iter #273: 7ms, mad=0.5004/0.0273, median=14ms
iter #274: 7ms, mad=0.5005/0.0274, median=14ms
iter #275: 7ms, mad=0.5004/0.0275, median=14ms
iter #276: 7ms, mad=0.5003/0.0276, median=14ms
iter #277: 7ms, mad=0.5001/0.0277, median=14ms
iter #278: 7ms, mad=0.4998/0.0278, median=14ms
iter #279: 7ms, mad=0.4996/0.0279, median=14ms
iter #280: 7ms, mad=0.4994/0.0280, median=14ms
iter #281: 8ms, mad=0.4991/0.0281, median=14ms
iter #282: 7ms, mad=0.4989/0.0282, median=14ms
iter #283: 7ms, mad=0.4988/0.0283, median=14ms
iter #284: 7ms, mad=0.4989/0.0284, median=14ms
iter #285: 7ms, mad=0.4989/0.0285, median=14ms
iter #286: 7ms, mad=0.4990/0.0286, median=14ms
iter #287: 7ms, mad=0.4991/0.0287, median=14ms
iter #288: 7ms, mad=0.4992/0.0288, median=14ms
iter #289: 7ms, mad=0.4991/0.0289, median=14ms
iter #290: 7ms, mad=0.4989/0.0290, median=14ms
iter #291: 7ms, mad=0.4986/0.0291, median=14ms
iter #292: 7ms, mad=0.4976/0.0292, median=14ms
iter #293: 8ms, mad=0.4966/0.0293, median=14ms
iter #294: 7ms, mad=0.4966/0.0294, median=14ms
iter #295: 7ms, mad=0.4966/0.0295, median=14ms
iter #296: 7ms, mad=0.4967/0.0296, median=14ms
iter #297: 7ms, mad=0.4966/0.0297, median=14ms
iter #298: 7ms, mad=0.4965/0.0298, median=14ms
iter #299: 7ms, mad=0.4964/0.0299, median=14ms
iter #300: 7ms, mad=0.4963/0.0300, median=14ms
iter #301: 7ms, mad=0.4962/0.0301, median=14ms
iter #302: 7ms, mad=0.4961/0.0302, median=14ms
iter #303: 7ms, mad=0.4960/0.0303, median=14ms
iter #304: 7ms, mad=0.4956/0.0304, median=14ms
iter #305: 8ms, mad=0.4951/0.0305, median=14ms
iter #306: 7ms, mad=0.4951/0.0306, median=14ms
iter #307: 7ms, mad=0.4951/0.0307, median=14ms
iter #308: 7ms, mad=0.4951/0.0308, median=14ms
iter #309: 7ms, mad=0.4951/0.0309, median=14ms
iter #310: 7ms, mad=0.4949/0.0310, median=14ms
iter #311: 7ms, mad=0.4947/0.0311, median=14ms
iter #312: 7ms, mad=0.4945/0.0312, median=14ms
iter #313: 7ms, mad=0.4942/0.0313, median=14ms
iter #314: 12ms, mad=0.4940/0.0314, median=14ms
iter #315: 7ms, mad=0.4938/0.0315, median=14ms
iter #316: 16ms, mad=0.4940/0.0316, median=14ms
iter #317: 8ms, mad=0.4938/0.0317, median=14ms
iter #318: 7ms, mad=0.4936/0.0318, median=14ms
iter #319: 7ms, mad=0.4935/0.0319, median=14ms
iter #320: 7ms, mad=0.4935/0.0320, median=14ms
iter #321: 16ms, mad=0.4935/0.0321, median=14ms
iter #322: 7ms, mad=0.4935/0.0322, median=14ms
iter #323: 7ms, mad=0.4934/0.0323, median=14ms
iter #324: 7ms, mad=0.4571/0.0324, median=13ms
iter #325: 7ms, mad=0.4152/0.0325, median=12ms
iter #326: 7ms, mad=0.3329/0.0326, median=10ms
iter #327: 7ms, mad=0.2065/0.0327, median=8ms
iter #328: 7ms, mad=0.1941/0.0328, median=8ms
iter #329: 7ms, mad=0.1813/0.0329, median=8ms
iter #330: 7ms, mad=0.1771/0.0330, median=8ms
iter #331: 7ms, mad=0.1729/0.0331, median=8ms
iter #332: 7ms, mad=0.1694/0.0332, median=8ms
iter #333: 7ms, mad=0.1659/0.0333, median=8ms
iter #334: 7ms, mad=0.1621/0.0334, median=8ms
iter #335: 7ms, mad=0.1583/0.0335, median=8ms
iter #336: 7ms, mad=0.1543/0.0336, median=8ms
iter #337: 7ms, mad=0.1503/0.0337, median=8ms
iter #338: 7ms, mad=0.1491/0.0338, median=8ms
iter #339: 7ms, mad=0.1479/0.0339, median=8ms
iter #340: 7ms, mad=0.1478/0.0340, median=8ms
iter #341: 7ms, mad=0.1476/0.0341, median=8ms
iter #342: 8ms, mad=0.1475/0.0342, median=8ms
iter #343: 7ms, mad=0.1471/0.0343, median=8ms
iter #344: 7ms, mad=0.1471/0.0344, median=8ms
iter #345: 7ms, mad=0.1470/0.0345, median=8ms
iter #346: 7ms, mad=0.1461/0.0346, median=8ms
iter #347: 7ms, mad=0.1453/0.0347, median=8ms
iter #348: 7ms, mad=0.1431/0.0348, median=8ms
iter #349: 7ms, mad=0.1409/0.0349, median=8ms
iter #350: 7ms, mad=0.1389/0.0350, median=8ms
iter #351: 7ms, mad=0.1370/0.0351, median=8ms
iter #352: 7ms, mad=0.1350/0.0352, median=8ms
iter #353: 7ms, mad=0.1330/0.0353, median=8ms
iter #354: 8ms, mad=0.1350/0.0354, median=8ms
iter #355: 7ms, mad=0.1330/0.0355, median=8ms
iter #356: 7ms, mad=0.1318/0.0356, median=8ms
iter #357: 7ms, mad=0.1306/0.0357, median=8ms
iter #358: 7ms, mad=0.1298/0.0358, median=8ms
iter #359: 7ms, mad=0.1289/0.0359, median=8ms
iter #360: 7ms, mad=0.0902/0.0360, median=7ms
iter #361: 7ms, mad=0.0501/0.0361, median=7ms
iter #362: 7ms, mad=0.0457/0.0362, median=7ms
iter #363: 7ms, mad=0.0413/0.0363, median=7ms
iter #364: 7ms, mad=0.0392/0.0364, median=7ms
iter #365: 7ms, mad=0.0371/0.0365, median=7ms
iter #366: 8ms, mad=0.0392/0.0366, median=7ms
iter #367: 7ms, mad=0.0371/0.0367, median=7ms
iter #368: 7ms, mad=0.0360/0.0368, median=7ms
RSS: 2175.8MiB
MAXRSS: 2478.7MiB
RSS sampled (n=184): median 2138.5MiB ± 0.1MiB (MAD), range [2064.4, 2157.1]MiB
Benchmarking took 0 minutes 15 seconds
Statistics for the second half of iterations (considered warmed up):
median: 7ms +/- 0.044ms (0.61%) (median absolute deviation)
mean:   7ms +/- 1.071ms (14.59%) (standard deviation)
range: [7-16]ms
Total time spent benchmarking: 180s

cruby: ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +PRISM [x86_64-linux]
yjit: ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +YJIT +PRISM [x86_64-linux]
zjit: ruby 4.1.0dev (2026-08-28T19:04:48Z master 90e729c9bc) +ZJIT +PRISM [x86_64-linux]
jruby: jruby 10.1.1.0 (4.0.0) 2026-07-22 aaa95d57e1 OpenJDK 64-Bit Server VM 21.0.12+8-1-24.04-Ubuntu on 21.0.12+8-1-24.04-Ubuntu +indy +jit [x86_64-linux]
truffleruby: truffleruby 34.0.1 (2026-04-26), like ruby 3.4.9, Oracle GraalVM JVM [x86_64-linux]

-------------  ------------  ------------  ----------  ------------  ----------------  ------------  ------------  -------------  -------------------  ----------  ----------  -----------  -----------------
bench            cruby (ms)     yjit (ms)   zjit (ms)    jruby (ms)  truffleruby (ms)  yjit 1st itr  zjit 1st itr  jruby 1st itr  truffleruby 1st itr  cruby/yjit  cruby/zjit  cruby/jruby  cruby/truffleruby
30k_variables  641.6 ± 0.2%  392.0 ± 1.9%  6.1 ± 0.1%  249.3 ± 1.7%       7.3 ± 14.6%         0.179         1.175          0.076                0.374       1.637     104.454        2.573             87.395
-------------  ------------  ------------  ----------  ------------  ----------------  ------------  ------------  -------------  -------------------  ----------  ----------  -----------  -----------------

Legend:
- yjit 1st itr: ratio of cruby/yjit time for the first benchmarking iteration.
- cruby/yjit: ratio of cruby/yjit time. Higher is better for yjit. Above 1 represents a speedup.
- zjit 1st itr: ratio of cruby/zjit time for the first benchmarking iteration.
- cruby/zjit: ratio of cruby/zjit time. Higher is better for zjit. Above 1 represents a speedup.
- jruby 1st itr: ratio of cruby/jruby time for the first benchmarking iteration.
- cruby/jruby: ratio of cruby/jruby time. Higher is better for jruby. Above 1 represents a speedup.
- truffleruby 1st itr: ratio of cruby/truffleruby time for the first benchmarking iteration.
- cruby/truffleruby: ratio of cruby/truffleruby time. Higher is better for truffleruby. Above 1 represents a speedup.

Output:
/home/k0kubun/src/github.com/ruby/ruby-bench/data/output_2824.json

@tekknolagi

tekknolagi commented Aug 29, 2026

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I like this for the paper. I think it would also be interesting to have a benchmark that has treatment of EP escape too. Perhaps another benchmark.

@k0kubun
k0kubun merged commit c1de6a9 into ruby:main Aug 29, 2026
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@k0kubun
k0kubun deleted the 30k-variables branch August 29, 2026 16:15
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