fibonacci benchmark N=1,000,000

Each chart bar shows how many times slower, one ↓ fibonacci program was, compared to the fastest program.

These are not the only programs that could be written. These are not the only compilers and interpreters. These are not the only programming languages.

Column × shows how many times more each program used compared to the benchmark program that used least.

    sort sortsort
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0Pyston #3 0.060.06?181  14% 0% 0% 100%
1.0Pyston #3 0.060.06?181  0% 0% 0% 100%
1.0Pyston #3 0.060.06?181  0% 0% 0% 100%
4.4PyPy 3 #3 0.260.261,316182  8% 0% 0% 100%
4.4PyPy 3 #3 0.260.261,280182  4% 0% 100% 0%
4.5PyPy 2 #3 0.270.271,628181  4% 100% 4% 0%
4.5PyPy 2 #3 0.270.271,616181  4% 0% 0% 96%
4.6PyPy 3 #3 0.260.271,312182  100% 0% 4% 4%
4.8PyPy 2 #3 0.270.291,572181  7% 93% 0% 0%
7.2Pyston 0.430.4355,228136  100% 0% 2% 0%
7.2Pyston 0.430.4355,100136  100% 0% 0% 0%
7.3Pyston 0.430.4457,344136  91% 11% 0% 0%
11Python 2 #3 0.670.677,240181  1% 100% 3% 0%
11Python 2 #3 0.670.677,384181  12% 2% 6% 100%
11Python development version #3 0.670.679,144182  3% 100% 3% 0%
11Python development version #3 0.670.679,308182  99% 0% 2% 1%
11Python 2 #3 0.670.677,284181  99% 2% 3% 6%
11Cython #3 0.670.679,160184  7% 7% 0% 100%
11Python 3 #3 0.670.679,364182  5% 100% 6% 2%
11Cython #3 0.670.679,036184  1% 9% 1% 99%
11Cython #3 0.670.679,096184  4% 7% 100% 2%
11Python 3 #3 0.670.679,284182  9% 1% 100% 5%
11Python 3 #3 0.670.689,420182  4% 9% 100% 10%
11Python development version #3 0.680.689,212182  1% 5% 0% 99%
11Nuitka #3 0.680.6810,196182  1% 4% 99% 6%
11Nuitka #3 0.680.6810,252182  100% 7% 3% 3%
11Nuitka #3 0.680.6810,272182  100% 4% 1% 1%
16Python development version 0.960.9626,428137  100% 1% 1% 0%
16Python development version 0.970.9726,524137  99% 2% 3% 3%
16Cython 0.970.9726,168138  3% 5% 6% 100%
16Python 2 0.970.9824,096136  1% 2% 100% 4%
16Python 2 0.980.9824,192136  3% 100% 1% 4%
16Python 3 0.980.9826,764137  7% 100% 3% 2%
16Nuitka 0.980.9826,808137  3% 5% 0% 100%
16Cython 0.980.9926,368138  100% 9% 6% 3%
17Cython 0.971.0026,376138  5% 79% 27% 1%
17Nuitka 0.971.0226,864137  5% 100% 3% 0%
17Nuitka 0.971.0226,908137  2% 100% 4% 4%
17Python 3 0.971.0226,780137  100% 5% 3% 5%
17Python 2 0.981.0324,012136  2% 3% 10% 92%
17Python development version 0.991.0426,372137  10% 96% 51% 4%
18Python 3 0.991.0826,756137  13% 6% 88% 8%
20Numba 1.201.2075,208160  99% 0% 0% 0%
20Numba 1.201.2075,420160  99% 1% 1% 0%
20Numba 1.201.2074,964160  0% 1% 0% 100%
30Jython #3 4.421.78246,336181  79% 62% 61% 47%
30Jython #3 4.571.80255,888181  73% 69% 61% 51%
32Jython #3 4.771.90272,324181  73% 84% 58% 36%
56Pyston #2 3.373.3759,552110  0% 82% 0% 18%
56Pyston #2 3.373.3759,376110  0% 0% 100% 0%
57Pyston #2 3.393.3959,460110  0% 62% 0% 38%
98IronPython #3 5.865.8653,032181  100% 0% 0% 0%
98IronPython #3 5.865.8650,872181  0% 0% 100% 0%
98IronPython #3 5.865.8755,276181  0% 100% 0% 0%
105PyPy 3 #2 6.296.3275,132110  6% 1% 1% 100%
105PyPy 3 #2 6.316.3274,656110  6% 1% 1% 100%
106PyPy 3 #2 6.316.3474,724110  6% 1% 3% 100%
109PyPy 2 #2 6.546.5586,628110  5% 1% 100% 1%
111PyPy 2 #2 6.496.6986,892110  57% 0% 45% 1%
113PyPy 2 #2 6.476.8187,056110  100% 1% 1% 2%
157Python development version #2 9.409.409,136110  1% 100% 1% 1%
157Python development version #2 9.409.429,012110  1% 1% 0% 100%
157Python development version #2 9.429.439,024110  3% 76% 4% 25%
158Python 2 #2 9.469.4738,896110  2% 2% 3% 100%
159Python 2 #2 9.509.5138,904110  2% 100% 2% 2%
159Python 2 #2 9.539.5438,952110  37% 21% 49% 3%
159Nuitka #2 9.549.5510,056110  100% 8% 1% 1%
161Nuitka #2 9.669.6710,216110  4% 7% 1% 100%
162Nuitka #2 9.699.7110,184110  4% 7% 2% 100%
166Python 3 #2 9.969.989,188110  12% 9% 100% 9%
167Python 3 #2 9.9910.029,184110  14% 74% 12% 39%
168Python 3 #2 9.6210.099,104110  100% 4% 5% 4%
256Jython #2 18.9415.34323,352110  20% 37% 28% 38%
256Jython #2 19.0615.35317,228110  26% 37% 24% 38%
257Grumpy #2 38.5515.39498,660110  65% 71% 65% 64%
263Grumpy #2 39.4615.78519,192110  65% 71% 63% 66%
265Grumpy #2 38.8115.90550,940110  71% 69% 67% 68%
302Jython #2 22.5918.13356,048110  21% 35% 31% 37%
513Graal #2 30.8130.79475,928110  32% 27% 60% 9%
523Graal #2 31.4631.39473,984110  13% 25% 12% 87%
540Graal #2 32.4032.39474,856110  19% 57% 20% 60%
1,009IronPython #2 77.3760.52105,408110  38% 65% 0% 24%
1,009IronPython #2 77.9460.55106,696110  70% 37% 14% 7%
1,009IronPython #2 77.4360.55109,804110  26% 41% 44% 16%
1,371MicroPython #3 82.0482.292,876182  9% 71% 4% 29%
1,374MicroPython #3 82.1482.422,788182  60% 19% 8% 39%
1,391MicroPython #3 82.9083.482,868182  72% 21% 47% 21%
1,779MicroPython #2 106.42106.734,112110  20% 7% 36% 53%
1,835MicroPython #2 109.54110.104,328110  35% 19% 69% 33%
1,839MicroPython #2 109.65110.324,180110  55% 22% 63% 20%
missing benchmark programs
Shedskin No program

 fibonacci benchmark : Calculate Fibonacci sequence

 

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