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

vs

 1 : Are the Python 2 programs faster? At a glance.

Each chart bar shows, for one unidentified benchmark, how much the fastest Python 2 program used compared to the fastest PyPy program.

(Memory use is only compared for tasks that require memory to be allocated.)


These are not the only compilers and interpreters. These are not the only programs that could be written. These are not the only tasks that could be solved. These are just 10 tiny examples.

 2 : Are the Python 2 programs faster? Approximately.

Each table row shows, for one named benchmark, how much the fastest Python 2 program used compared to the fastest PyPy program.

(Memory use is only compared for tasks that require memory to be allocated.)

 Python 2 used what fraction? used how many times more? 
Benchmark Time Memory Code
 reverse-complement † ?±
 regex-dna †1/5?±
 binary-trees1/21/6±
 k-nucleotide1/2?±
 pidigits± ±
 iobench ±
 pystone?±
 fibonacci?±
 thread-ring?±
 meteor-contest ±
 fasta ±
 richards?±
 jsonbench ±
 fib50 ±
 fannkuch-redux ±
 spectral-norm †10×?±
 n-body12× ±
 Python 2 used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)  ±10×12×

† possible mismatch - one-core program compared to multi-core program.

± read the measurements and then read the program source code.

 3 : Are the Python 2 programs faster? Measurements.

These are not the only tasks that could be solved. These are just 10 tiny examples. These are not the only compilers and interpreters. These are not the only programs that could be written.

For each named benchmark, measurements of the fastest Python 2 program are shown for comparison against measurements of the fastest PyPy program.

Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
 reverse-complement 
Python 20.01?432   †
PyPy0.060.06?455  0% 25% 0% 0% 0% 0% 100% 0% †
 regex-dna 
Python 20.030.03?501  100% 0% 0% 0% 0% 0% 0% 33% †
PyPy0.110.12?501  8% 0% 0% 0% 77% 0% 0% 8% †
 binary-trees 
Python 22.020.4716,340743  54% 57% 56% 54% 64% 57% 63% 54%
PyPy2.291.0692,236743  30% 29% 27% 24% 26% 67% 21% 23%
 k-nucleotide 
Python 20.070.07?593  100% 0% 0% 0% 0% 0% 0% 0%
PyPy0.090.11?593  0% 0% 0% 0% 0% 0% 0% 82%
 pidigits 
Python 22.132.137,128322  0% 0% 0% 0% 1% 0% 100% 0%
PyPy2.983.0078,280322  0% 0% 0% 1% 98% 0% 0% 2%
 iobench 
Python 224.8624.866,336370  0% 0% 100% 0% 0% 0% 0% 0%
PyPy14.1514.1777,364370  1% 0% 0% 0% 1% 0% 100% 0%
 pystone 
Python 20.200.20?2301  0% 0% 0% 0% 0% 100% 0% 0%
PyPy0.090.11?2301  0% 17% 0% 0% 0% 80% 0% 0%
 fibonacci 
Python 20.490.496,772181  0% 100% 2% 0% 0% 0% 0% 0%
PyPy0.170.19?181  5% 0% 0% 0% 0% 0% 89% 0%
 thread-ring 
Python 20.380.392,800407  3% 3% 97% 0% 0% 0% 0% 0%
PyPy0.110.13?407  0% 0% 7% 0% 85% 0% 0% 0%
 meteor-contest 
Python 22.142.146,8281485  0% 0% 100% 0% 0% 0% 0% 1%
PyPy0.680.6977,2281485  0% 97% 0% 0% 0% 0% 1% 0%
 fasta 
Python 25.875.9112,988900  0% 0% 1% 0% 0% 99% 0% 0%
PyPy1.731.7374,192900  100% 0% 1% 0% 0% 0% 0% 0%
 richards 
Python 20.870.876,3482423  1% 0% 100% 0% 1% 0% 0% 0%
PyPy0.190.20?2423  95% 0% 0% 0% 0% 0% 0% 5%
 jsonbench 
Python 24.254.2615,884322  0% 0% 100% 0% 0% 0% 0% 0%
PyPy0.920.9476,244322  0% 0% 99% 0% 0% 1% 0% 0%
 fib50 
Python 22.402.4037,872130  0% 0% 100% 0% 0% 0% 0% 0%
PyPy0.480.5073,844130  2% 2% 2% 2% 0% 96% 0% 0%
 fannkuch-redux 
Python 211.022.8511,4601009  6% 4% 97% 95% 94% 0% 1% 96%
PyPy1.280.4979,1761009  18% 56% 59% 4% 40% 36% 0% 56%
 spectral-norm 
Python 24.231.1311,728595  78% 71% 51% 30% 25% 35% 40% 59% †
PyPy0.090.11?594  0% 0% 0% 0% 82% 0% 0% 0% †
 n-body 
Python 238.7838.786,6841337  0% 0% 0% 0% 0% 1% 0% 100%
PyPy3.243.2668,9921337  1% 99% 0% 0% 0% 0% 0% 0%
 templates 
No program
PyPy2.482.5398,024307  0% 0% 0% 0% 100% 0% 0% 0%
 fasta-redux 
No program
PyPy0.190.21?1115  0% 5% 0% 0% 0% 90% 0% 0%
 chameneos-redux 
No program
PyPy190.59145.4270,1801192  4% 6% 5% 7% 9% 7% 10% 10%
 mandelbrot
   No programs
 binary-trees-redux
   No programs

† possible mismatch - one-core program compared to multi-core program.

 4 : Are there other Python 2 programs for these benchmarks?

Remember - those are just the fastest Python 2 and PyPy programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Python 2.

Maybe one of those other Python 2 programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Python 2 and PyPy programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.

Maybe one of those other programs is fastest on a different OS/machine.

 Python 2 : the old Python 

Revised BSD license

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