Python Interpreters Benchmarks
x64 ArchLinux : AMD® Ryzen 7 4700U®

 Summary Data - Full Data [07 May 2021 u64q n]

name,lang,id,n,size(B),cpu(s),mem(KB),status,load,elapsed(s) [07 May 2021 u64q n]
binary-trees,Pyston,6,14,743,1.237,3220,0,62% 60% 65% 83% 67% 65% 64% 67%,0.245
binary-trees,Python 3,7,14,741,1.461,1620,0,69% 67% 79% 61% 68% 71% 64% 62%,0.285
binary-trees,PyPy,1,14,743,2.321,90520,0,37% 34% 33% 26% 31% 37% 44% 51%,1.051
binary-trees,PyPy 3,7,14,741,2.318,136204,0,35% 33% 62% 27% 29% 28% 28% 25%,0.971
binary-trees,Python dev,6,14,743,1.826,1544,0,64% 63% 61% 66% 83% 73% 59% 59%,0.352
binary-trees,Nuitka,7,14,741,1.480,1496,0,66% 65% 60% 60% 80% 66% 65% 67%,0.3
binary-trees,Python 2,1,14,743,2.022,16340,0,54% 57% 56% 54% 64% 57% 63% 54%,0.466
chameneos-redux,MicroPython,1,6000000,1191,245.283,4616,0,11% 6% 14% 8% 6% 5% 7% 7%,156.619
chameneos-redux,Graal,1,6000000,1191,234.535,741276,0,19% 14% 13% 12% 13% 15% 15% 15%,153.08
chameneos-redux,Python dev,2,6000000,1191,269.414,7800,0,10% 6% 15% 10% 7% 7% 6% 7%,210.038
chameneos-redux,Nuitka,2,6000000,1191,295.391,11524,0,16% 9% 8% 8% 12% 12% 13% 13%,215.275
chameneos-redux,Pyston,2,6000000,1191,234.458,8584,0,12% 12% 11% 12% 10% 9% 8% 9%,172.815
chameneos-redux,Python 3,1,6000000,1191,296.432,8728,0,19% 14% 14% 13% 14% 15% 14% 14%,215.334
chameneos-redux,PyPy 3,2,6000000,1191,245.983,65352,0,11% 10% 10% 10% 9% 11% 10% 11%,243.319
chameneos-redux,PyPy,1,6000000,1192,199.244,70280,0,11% 11% 11% 9% 10% 11% 10% 12%,142.764
fannkuch-redux,PyPy 3,4,10,1069,3.136,80000,0,53% 48% 49% 93% 47% 53% 49% 50%,0.757
fannkuch-redux,Python 2,1,10,1009,11.017,11460,0,6% 4% 97% 95% 94% 0% 1% 96%,2.852
fannkuch-redux,Python dev,3,10,894,10.157,12628,0,90% 96% 96% 96% 95% 96% 96% 95%,1.34
fannkuch-redux,MicroPython,6,10,552,6.214,4348,0,0% 0% 0% 100% 0% 0% 0% 0%,6.217
fannkuch-redux,Python 3,4,10,1069,14.551,12812,0,94% 95% 94% 90% 98% 90% 93% 90%,2.201
fannkuch-redux,Nuitka,4,10,1069,5.359,14496,0,92% 92% 92% 87% 97% 91% 91% 91%,0.754
fannkuch-redux,PyPy,1,10,1009,1.526,80228,0,59% 56% 15% 5% 58% 25% 8% 59%,0.602
fannkuch-redux,Pyston,4,10,1069,4.399,13368,0,93% 92% 92% 90% 87% 92% 90% 94%,0.617
fannkuch-redux,Graal,6,10,552,1.821,664580,0,13% 9% 4% 91% 14% 18% 4% 1%,1.383
fannkuch-redux,RustPython,6,10,552,224.801,14552,0,0% 0% 0% 0% 100% 0% 0% 0%,224.814
fasta,Pyston,4,2500000,1698,2.048,8660,0,5% 6% 5% 2% 1% 100% 2% 1%,2.062
fasta,PyPy 3,4,2500000,1698,1.488,69300,0,5% 2% 5% 3% 4% 1% 2% 99%,1.505
fasta,Python 3,5,2500000,2016,7.487,12936,0,24% 55% 29% 21% 18% 71% 16% 18%,4.435
fasta,Python dev,5,2500000,2016,5.149,12852,0,3% 40% 39% 5% 16% 80% 0% 0%,2.855
fasta,Nuitka,5,2500000,2016,6.410,14644,0,31% 22% 39% 16% 48% 13% 27% 62%,2.931
fasta,PyPy,1,2500000,900,1.797,74152,0,85% 5% 1% 3% 14% 4% 4% 2%,1.825
fasta,Python 2,1,2500000,900,5.873,12988,0,0% 0% 1% 0% 0% 99% 0% 0%,5.913
fasta,Graal,3,2500000,1647,7.982,982372,0,41% 44% 22% 28% 39% 40% 35% 6%,3.486
fasta,Cython,1,2500000,945,2.772,8368,0,0% 100% 0% 0% 0% 0% 0% 0%,2.774
fasta,Jython,1,2500000,900,25.502,3540,0,28% 13% 13% 12% 22% 32% 1% 2%,20.967
fasta-redux,PyPy 3,7,2500000,1115,0.166,0,0,0% 5% 0% 0% 5% 89% 5% 0%,0.185
fasta-redux,Pyston,1,2500000,1115,0.138,0,0,13% 0% 0% 7% 0% 0% 100% 7%,0.14
fasta-redux,Cython,1,2500000,1169,0.112,0,0,0% 100% 0% 0% 0% 0% 0% 0%,0.114
fasta-redux,Nuitka,1,2500000,1115,0.196,0,0,5% 0% 100% 0% 5% 5% 0% 0%,0.197
fasta-redux,Graal,7,2500000,1115,10.811,1147092,0,30% 43% 7% 63% 37% 6% 99% 3%,4.162
fasta-redux,Python 3,7,2500000,1115,0.247,816,0,14% 96% 0% 4% 23% 19% 17% 9%,0.249
fasta-redux,Python dev,7,2500000,1115,0.203,0,0,0% 0% 0% 0% 0% 0% 0% 95%,0.205
fasta-redux,PyPy,1,2500000,1115,0.208,2968,0,4% 8% 5% 0% 19% 67% 9% 4%,0.225
fib50,Nuitka,1,1000000,136,3.389,10716,0,5% 4% 3% 4% 2% 100% 3% 2%,3.391
fib50,PyPy 3,1,1000000,136,0.635,69480,0,98% 8% 6% 5% 9% 5% 5% 3%,0.657
fib50,Python dev,1,1000000,136,2.128,7112,0,2% 1% 3% 2% 100% 3% 4% 3%,2.163
fib50,PyPy,1,1000000,130,0.486,73272,0,4% 4% 2% 2% 0% 6% 96% 4%,0.502
fib50,Graal,1,1000000,136,20.221,1111164,0,14% 11% 92% 26% 15% 25% 26% 13%,10.492
fib50,Python 3,1,1000000,136,2.133,9276,0,5% 4% 4% 2% 5% 3% 100% 2%,2.135
fib50,RustPython,1,1000000,136,124.290,16028,0,5% 3% 3% 3% 51% 7% 35% 15%,124.73
fib50,Jython,1,1000000,130,11.082,3592,0,17% 14% 11% 5% 44% 24% 21% 25%,6.914
fib50,MicroPython,1,1000000,136,4.628,4248,0,4% 100% 4% 1% 3% 5% 3% 3%,4.634
fib50,Python 2,1,1000000,130,2.396,37872,0,0% 0% 100% 0% 0% 0% 0% 0%,2.398
fib50,Cython,1,1000000,159,0.556,7872,0,0% 96% 0% 0% 2% 0% 0% 2%,0.569
fibonacci,MicroPython,3,1000000,182,40.302,3296,0,0% 0% 0% 0% 100% 0% 0% 0%,40.305
fibonacci,Python 2,3,1000000,181,0.490,6772,0,0% 100% 2% 0% 0% 0% 0% 0%,0.492
fibonacci,Python 3,3,1000000,182,0.556,8584,0,12% 50% 17% 5% 54% 7% 11% 2%,0.558
fibonacci,RustPython,3,1000000,182,0.747,16864,0,0% 0% 0% 1% 0% 0% 1% 100%,0.749
fibonacci,PyPy 3,3,1000000,182,0.210,2988,0,12% 91% 9% 0% 4% 0% 0% 4%,0.227
fibonacci,Graal,3,1000000,182,0.537,988,0,29% 9% 12% 3% 31% 69% 6% 28%,0.326
fibonacci,Jython,3,1000000,181,6.147,3400,0,22% 59% 28% 7% 24% 41% 29% 33%,2.549
fibonacci,Python dev,3,1000000,182,0.494,8456,0,0% 100% 0% 0% 2% 0% 0% 2%,0.496
fibonacci,Nuitka,3,1000000,182,0.510,11500,0,6% 0% 2% 6% 37% 69% 2% 2%,0.513
fibonacci,PyPy,3,1000000,181,0.217,1032,0,8% 0% 0% 0% 92% 4% 4% 0%,0.235
fibonacci,Cython,3,1000000,184,0.494,8628,0,0% 0% 2% 0% 0% 0% 100% 0%,0.495
iobench,Cython,1,1,366,0.011,0,0,0% 50% 0% 0% 100% 0% 0% 0%,0.013
iobench,Graal,1,1,367,51.906,1368480,0,11% 11% 32% 52% 9% 9% 7% 28%,38.537
iobench,Nuitka,1,1,367,2.708,10656,0,6% 2% 100% 3% 6% 3% 3% 5%,2.71
iobench,Python 2,1,1,370,24.856,6336,0,0% 0% 100% 0% 0% 0% 0% 0%,24.859
iobench,Jython,1,1,370,286.894,3620,0,19% 26% 30% 27% 1% 1% 1% 1%,270.092
iobench,PyPy,1,1,370,12.177,77048,0,38% 4% 3% 3% 67% 4% 3% 3%,12.239
iobench,Python dev,1,1,367,2.625,8272,0,0% 0% 0% 0% 0% 0% 0% 100%,2.628
iobench,Python 3,1,1,367,3.376,8140,0,51% 26% 22% 19% 76% 17% 18% 16%,3.386
iobench,PyPy 3,1,1,367,7.392,72292,0,4% 3% 4% 4% 100% 4% 3% 4%,7.424
jsonbench,PyPy 3,1,1,322,0.984,73788,0,3% 3% 2% 2% 1% 98% 4% 4%,1.007
jsonbench,Pyston,1,1,322,1.856,12372,0,2% 2% 5% 2% 99% 3% 4% 2%,1.866
jsonbench,Python 2,1,1,322,4.251,15884,0,0% 0% 100% 0% 0% 0% 0% 0%,4.256
jsonbench,Graal,1,1,322,138.600,1508400,0,37% 17% 7% 97% 13% 36% 28% 36%,57.492
jsonbench,PyPy,1,1,322,0.936,75732,0,6% 2% 99% 8% 2% 2% 6% 4%,0.955
jsonbench,Cython,1,1,323,2.575,12092,0,0% 100% 0% 0% 0% 0% 0% 0%,2.577
jsonbench,Python dev,1,1,322,2.558,12056,0,0% 0% 0% 0% 0% 100% 0% 0%,2.566
jsonbench,Python 3,1,1,322,2.637,12316,0,100% 4% 3% 2% 4% 4% 6% 1%,2.641
jsonbench,Nuitka,1,1,322,2.364,14644,0,3% 1% 3% 1% 100% 2% 4% 2%,2.368
jsonbench,Jython,1,1,322,23.440,3592,0,34% 25% 14% 9% 17% 20% 19% 19%,15.073
k-nucleotide,PyPy 3,3,10000,2011,0.665,73324,0,16% 12% 12% 8% 12% 80% 11% 10%,0.488
k-nucleotide,Python dev,2,10000,801,0.087,0,0,20% 29% 29% 100% 0% 29% 29% 17%,0.056
k-nucleotide,Cython,1,10000,618,0.065,0,0,0% 0% 0% 0% 0% 100% 0% 0%,0.066
k-nucleotide,Python 2,1,10000,593,0.070,0,0,100% 0% 0% 0% 0% 0% 0% 0%,0.072
k-nucleotide,Pyston,2,10000,801,0.078,0,0,20% 0% 80% 17% 0% 0% 0% 0%,0.051
k-nucleotide,Nuitka,2,10000,801,0.086,0,0,14% 60% 0% 17% 17% 0% 17% 17%,0.062
k-nucleotide,Python 3,2,10000,801,0.102,0,0,17% 14% 38% 88% 25% 12% 83% 22%,0.072
k-nucleotide,PyPy,1,10000,593,0.092,0,0,9% 0% 0% 83% 0% 0% 0% 0%,0.111
k-nucleotide,Graal,1,10000,594,1.402,421528,0,46% 27% 8% 48% 67% 3% 15% 44%,0.607
k-nucleotide,Jython,1,10000,593,4.887,3448,0,34% 52% 20% 30% 23% 31% 21% 16%,2.148
k-nucleotide,RustPython,1,10000,594,6.333,26260,0,100% 0% 0% 0% 0% 0% 0% 0%,6.336
mandelbrot,Nuitka,6,16000,3852,51.931,62500,0,96% 98% 95% 95% 96% 95% 97% 97%,6.943
mandelbrot,Python 3,6,16000,3852,92.926,61740,0,96% 99% 98% 99% 99% 96% 98% 98%,12.686
meteor-contest,PyPy,1,2098,1579,0.728,76060,0,7% 7% 4% 3% 3% 99% 7% 1%,0.746
meteor-contest,RustPython,2,2098,1443,83.706,17344,0,0% 0% 0% 100% 0% 0% 0% 0%,83.718
meteor-contest,Pyston,2,2098,1485,1.199,9488,0,50% 3% 3% 2% 53% 3% 3% 2%,1.204
meteor-contest,PyPy 3,2,2098,1443,0.713,72456,0,1% 1% 1% 3% 4% 55% 4% 48%,0.729
meteor-contest,Python 3,2,2098,1443,2.597,9256,0,60% 13% 10% 11% 54% 12% 11% 12%,2.62
meteor-contest,Jython,2,2098,1485,9.642,3432,0,58% 22% 17% 13% 14% 12% 24% 17%,5.511
meteor-contest,Graal,2,2098,1443,10.017,1102808,0,40% 17% 45% 89% 55% 80% 20% 25%,2.945
meteor-contest,Python 2,2,2098,1485,2.135,6828,0,0% 0% 100% 0% 0% 0% 0% 1%,2.138
meteor-contest,Cython,3,2098,1334,2.490,10796,0,1% 0% 0% 1% 0% 0% 100% 1%,2.492
meteor-contest,Nuitka,2,2098,1443,1.637,11772,0,3% 4% 1% 1% 2% 40% 62% 5%,1.64
meteor-contest,Python dev,2,2098,1443,2.127,8740,0,0% 0% 0% 0% 1% 100% 0% 0%,2.13
n-body,Python 2,1,5000000,1337,38.778,6684,0,0% 0% 0% 0% 0% 1% 0% 100%,38.782
n-body,MicroPython,1,5000000,1315,89.154,4520,0,0% 0% 0% 100% 0% 1% 0% 0%,89.166
n-body,Jython,1,5000000,1337,47.893,3380,0,13% 32% 42% 14% 3% 4% 2% 4%,42.468
n-body,Python dev,1,5000000,1315,29.842,8132,0,0% 0% 0% 0% 0% 1% 100% 0%,29.848
n-body,PyPy,1,5000000,1337,3.284,69660,0,5% 2% 9% 2% 5% 2% 1% 100%,3.301
n-body,Graal,1,5000000,1315,4.373,623664,0,7% 6% 5% 97% 8% 3% 3% 3%,3.975
n-body,Nuitka,1,5000000,1315,29.376,10880,0,6% 4% 4% 3% 3% 3% 2% 100%,29.378
n-body,Python 3,1,5000000,1315,38.191,8092,0,19% 16% 100% 13% 14% 14% 12% 12%,38.194
n-body,Cython,1,5000000,1392,8.783,8016,0,0% 0% 0% 0% 0% 1% 0% 100%,8.786
n-body,PyPy 3,1,5000000,1315,3.288,66656,0,4% 2% 4% 1% 2% 4% 1% 99%,3.308
pidigits,RustPython,1,10000,322,1.687,16920,0,1% 0% 1% 1% 0% 1% 99% 0%,1.698
pidigits,Nuitka,4,10000,379,0.030,0,0,100% 0% 0% 0% 0% 0% 0% 0%,0.032
pidigits,Python 3,4,10000,379,0.019,0,0,67% 25% 33% 0% 0% 0% 33% 100%,0.021
pidigits,PyPy,1,10000,322,3.005,78040,0,5% 5% 4% 3% 100% 4% 3% 1%,3.026
pidigits,PyPy 3,1,10000,322,3.007,74084,0,5% 4% 2% 99% 5% 4% 6% 2%,3.025
pidigits,Python 2,1,10000,322,2.128,7128,0,0% 0% 0% 0% 1% 0% 100% 0%,2.13
pidigits,Graal,1,10000,322,7.469,770500,0,83% 19% 4% 5% 13% 5% 7% 6%,6.22
pidigits,Cython,1,10000,322,2.100,8644,0,0% 0% 100% 0% 0% 0% 0% 1%,2.102
pidigits,Pyston,1,10000,322,2.062,9740,0,5% 4% 1% 1% 3% 100% 4% 5%,2.065
pidigits,Jython,1,10000,322,10.773,3588,0,18% 30% 55% 20% 13% 7% 13% 12%,6.446
pidigits,Python dev,1,10000,322,2.096,8636,0,1% 0% 0% 0% 100% 1% 0% 0%,2.098
pidigits,MicroPython,1,10000,322,11.453,4296,0,0% 1% 100% 1% 1% 0% 0% 0%,11.496
pystone,Python 2,1,50000,2301,0.195,0,0,0% 0% 0% 0% 0% 100% 0% 0%,0.198
pystone,Jython,1,50000,2301,7.204,3548,0,22% 34% 21% 79% 32% 23% 18% 28%,2.84
pystone,Python 3,1,50000,2300,0.247,1616,0,20% 12% 36% 12% 17% 17% 9% 100%,0.249
pystone,Graal,1,50000,2300,1.956,592980,0,33% 13% 27% 70% 37% 74% 15% 7%,0.831
pystone,RustPython,1,50000,2300,5.430,16504,0,0% 0% 0% 0% 100% 1% 0% 0%,5.433
pystone,PyPy 3,1,50000,2300,0.084,0,0,0% 78% 0% 0% 0% 0% 0% 10%,0.101
pystone,MicroPython,1,50000,2300,0.256,1268,0,0% 0% 0% 4% 0% 100% 4% 0%,0.259
pystone,Cython,1,50000,2401,0.060,0,0,0% 0% 0% 14% 100% 0% 0% 0%,0.062
pystone,Nuitka,1,50000,2300,0.148,0,0,12% 0% 0% 0% 0% 0% 100% 7%,0.149
pystone,PyPy,1,50000,2301,0.088,0,0,0% 100% 0% 0% 0% 0% 0% 0%,0.09
pystone,Python dev,1,50000,2300,0.183,0,0,5% 0% 0% 0% 0% 0% 100% 0%,0.185
regex-dna,PyPy,5,10000,501,0.107,0,0,0% 90% 0% 0% 0% 0% 0% 0%,0.124
regex-dna,Python 2,5,10000,501,0.025,0,0,100% 0% 0% 0% 0% 0% 0% 33%,0.027
regex-dna,PyPy 3,5,10000,524,0.165,0,0,11% 0% 6% 6% 6% 0% 94% 6%,0.18
regex-dna,Python 3,5,10000,524,0.045,0,0,67% 20% 0% 40% 0% 0% 83% 20%,0.047
regex-dna,Jython,5,10000,501,5.591,3484,0,36% 22% 30% 40% 31% 31% 24% 14%,2.474
regex-dna,Pyston,1,10000,612,0.094,0,0,60% 20% 20% 20% 0% 20% 20% 33%,0.052
regex-dna,Python dev,5,10000,524,0.033,0,0,0% 0% 0% 0% 0% 0% 100% 0%,0.035
regex-dna,Nuitka,5,10000,524,0.046,0,0,0% 0% 0% 17% 100% 0% 0% 0%,0.048
regex-dna,Cython,5,10000,524,0.034,0,0,0% 0% 0% 100% 0% 0% 0% 25%,0.036
reverse-complement,PyPy,4,1000,432,0.062,0,0,0% 100% 0% 0% 0% 14% 0% 0%,0.064
reverse-complement,Pyston,6,1000,878,0.010,0,0,0% 0% 0% 0% 0% 0% 50% 0%,0.012
reverse-complement,Nuitka,5,1000,458,0.027,0,0,0% 0% 100% 0% 0% 25% 0% 0%,0.028
reverse-complement,Cython,4,1000,449,0.011,0,0,%,0
reverse-complement,Jython,3,1000,431,4.275,3360,0,19% 35% 30% 31% 62% 10% 26% 13%,1.943
reverse-complement,Graal,4,1000,449,0.194,0,0,50% 17% 9% 45% 73% 17% 0% 9%,0.106
reverse-complement,Python 3,4,1000,449,0.017,0,0,33% 100% 33% 50% 0% 0% 33% 100%,0.019
reverse-complement,Python 2,4,1000,432,0.009,0,0,%,0
reverse-complement,Python dev,4,1000,449,0.012,0,0,0% 0% 0% 0% 0% 0% 0% 0%,0.014
reverse-complement,RustPython,5,1000,458,0.014,0,0,50% 0% 0% 0% 0% 0% 0% 0%,0.016
reverse-complement,PyPy 3,4,1000,449,0.055,0,0,12% 0% 0% 83% 0% 0% 12% 0%,0.071
richards,Cython,1,10,2467,0.467,7760,0,2% 100% 0% 0% 2% 2% 2% 0%,0.468
richards,MicroPython,1,10,2434,1.403,4300,0,100% 1% 1% 0% 0% 0% 0% 0%,1.405
richards,PyPy 3,1,10,2434,0.199,1104,0,5% 5% 0% 5% 91% 0% 5% 0%,0.215
richards,PyPy,1,10,2423,0.186,0,0,90% 5% 0% 0% 5% 0% 5% 9%,0.205
richards,Jython,1,10,2423,7.007,3380,0,18% 41% 29% 35% 21% 29% 29% 33%,3.057
richards,RustPython,1,10,2434,19.554,16676,0,1% 0% 100% 0% 0% 0% 0% 0%,19.557
richards,Python dev,1,10,2434,0.662,8460,0,1% 0% 0% 0% 100% 3% 0% 0%,0.665
richards,Python 3,1,10,2434,0.897,8728,0,19% 18% 18% 14% 100% 13% 12% 15%,0.901
richards,Python 2,1,10,2423,0.865,6348,0,1% 0% 100% 0% 1% 0% 0% 0%,0.867
richards,Graal,1,10,2434,7.333,902056,0,40% 63% 12% 72% 53% 65% 8% 59%,2.134
richards,Nuitka,1,10,2434,0.575,10896,0,13% 5% 3% 9% 100% 5% 8% 2%,0.577
spectral-norm,Nuitka,2,550,394,0.112,0,0,100% 0% 0% 8% 8% 0% 0% 0%,0.115
spectral-norm,Python dev,5,550,575,3.068,12664,0,41% 65% 72% 54% 60% 54% 18% 16%,0.823
spectral-norm,Python 3,2,550,394,0.156,0,0,6% 73% 17% 0% 94% 0% 7% 0%,0.159
spectral-norm,Pyston,5,550,595,2.250,13820,0,49% 33% 59% 51% 63% 38% 64% 73%,0.596
spectral-norm,PyPy 3,8,550,594,0.113,0,0,0% 8% 85% 13% 7% 0% 8% 0%,0.13
spectral-norm,Python 2,5,550,595,4.229,11728,0,78% 71% 51% 30% 25% 35% 40% 59%,1.129
spectral-norm,Jython,8,550,594,8.794,3540,0,23% 31% 26% 41% 10% 8% 8% 11%,5.589
spectral-norm,Graal,8,550,594,1.266,498128,0,17% 26% 9% 21% 91% 10% 14% 4%,0.767
spectral-norm,RustPython,6,550,498,107.652,16504,0,1% 0% 0% 0% 100% 1% 0% 0%,107.66
spectral-norm,PyPy,8,550,594,0.094,0,0,0% 82% 0% 0% 8% 8% 8% 0%,0.116
spectral-norm,MicroPython,6,550,498,5.774,4524,0,1% 0% 0% 1% 0% 1% 0% 100%,5.777
templates,Python 3,1,1000,322,0.919,16376,0,17% 14% 14% 13% 12% 99% 6% 13%,0.921
templates,PyPy 3,1,1000,322,3.602,100596,0,4% 2% 2% 3% 2% 85% 19% 1%,3.656
templates,PyPy,1,1000,307,2.632,96864,0,6% 97% 3% 2% 3% 3% 4% 6%,2.691
templates,Python dev,1,1000,322,0.653,16088,0,0% 0% 0% 1% 0% 100% 1% 0%,0.673
templates,Nuitka,1,1000,322,0.682,17752,0,0% 100% 0% 1% 3% 6% 1% 1%,0.705
thread-ring,Nuitka,2,5000000,448,56.439,15420,0,11% 16% 10% 12% 11% 8% 7% 7%,51.243
thread-ring,Graal,2,5000000,448,199.694,596212,0,23% 13% 10% 9% 18% 19% 17% 17%,180.362
thread-ring,Python 3,2,5000000,448,64.692,12708,0,22% 21% 22% 20% 17% 18% 17% 17%,56.075
thread-ring,RustPython,2,5000000,448,154.348,20676,0,15% 15% 16% 16% 12% 11% 11% 10%,121.687
thread-ring,MicroPython,2,5000000,448,49.205,6440,0,5% 8% 5% 9% 6% 6% 8% 9%,44.249
thread-ring,PyPy 3,2,5000000,448,60.946,70984,0,15% 22% 21% 18% 12% 8% 7% 7%,48.077
thread-ring,Python dev,2,5000000,448,56.125,12492,0,7% 9% 10% 6% 9% 6% 8% 6%,50.481
thread-ring,Cython,1,5000000,419,0.304,1932,0,0% 0% 0% 0% 0% 3% 100% 0%,0.306
thread-ring,Python 2,1,5000000,407,0.382,2800,0,3% 3% 97% 0% 0% 0% 0% 0%,0.385
thread-ring,Pyston,2,5000000,448,58.428,12920,0,11% 12% 13% 15% 12% 9% 8% 9%,54.242
thread-ring,Jython,1,5000000,407,5.839,3476,0,54% 23% 34% 24% 32% 24% 15% 20%,2.66
thread-ring,PyPy,1,5000000,407,0.108,0,0,0% 7% 0% 8% 0% 0% 0% 86%,0.127

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