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

vs

 1 : Are the Python 3 programs faster? At a glance.

Each chart bar shows, for one unidentified benchmark, how much the fastest Python 3 program used compared to the fastest PyPy 3 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 3 programs faster? Approximately.

Each table row shows, for one named benchmark, how much the fastest Python 3 program used compared to the fastest PyPy 3 program.

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

 Python 3 used what fraction? used how many times more? 
Benchmark Time Memory Code
 pidigits †1/140 ±
 templates †1/4 ±
 reverse-complement †1/4?±
 regex-dna †1/4?±
 binary-trees1/31/56±
 iobench †1/2 ±
 k-nucleotide †1/2?±
 chameneos-redux± ±
 thread-ring †± ±
 fasta-redux †?±
 spectral-norm †?1/2
 pystone †?±
 jsonbench † ±
 fasta † ±
 fibonacci †?±
 fannkuch-redux ±
 fib50 † ±
 meteor-contest † ±
 richards †?±
 n-body †12× ±
 Python 3 used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)1/1401/1401/212×

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

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

 3 : Are the Python 3 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 3 program are shown for comparison against measurements of the fastest PyPy 3 program.

Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
 pidigits 
Python 30.020.02?379  67% 25% 33% 0% 0% 0% 33% 100% †
PyPy 32.932.9573,496322  1% 0% 0% 0% 99% 0% 0% 0% †
 templates 
Python 30.920.9216,376322  17% 14% 14% 13% 12% 99% 6% 13% †
PyPy 33.573.62104,616322  99% 0% 0% 0% 0% 0% 0% 0% †
 reverse-complement 
Python 30.020.02?449  33% 100% 33% 50% 0% 0% 33% 100% †
PyPy 30.060.07?458  0% 0% 12% 0% 86% 0% 0% 0% †
 regex-dna 
Python 30.050.05?524  67% 20% 0% 40% 0% 0% 83% 20% †
PyPy 30.160.17?524  0% 0% 0% 0% 0% 0% 29% 61% †
 binary-trees 
Python 31.460.291,620741  69% 67% 79% 61% 68% 71% 64% 62%
PyPy 32.810.9990,520706  30% 67% 26% 35% 31% 33% 30% 32%
 iobench 
Python 33.383.398,140367  51% 26% 22% 19% 76% 17% 18% 16% †
PyPy 35.605.6171,932367  0% 0% 0% 0% 0% 100% 0% 0% †
 k-nucleotide 
Python 30.100.07?801  17% 14% 38% 88% 25% 12% 83% 22% †
PyPy 30.100.12?594  0% 0% 92% 0% 0% 0% 8% 0% †
 chameneos-redux 
Python 3296.43215.338,7281191  19% 14% 14% 13% 14% 15% 14% 14%
PyPy 3237.47218.5464,9321191  5% 7% 7% 6% 6% 10% 13% 12%
 thread-ring 
Python 364.6956.0812,708448  22% 21% 22% 20% 17% 18% 17% 17% †
PyPy 362.0747.7671,152448  19% 29% 10% 34% 4% 2% 2% 1% †
 fasta-redux 
Python 30.250.258161115  14% 96% 0% 4% 23% 19% 17% 9% †
PyPy 30.150.16?1115  0% 0% 94% 0% 0% 0% 0% 0% †
 spectral-norm 
Python 30.160.16?394  6% 73% 17% 0% 94% 0% 7% 0% †
PyPy 30.080.10?594  0% 0% 0% 0% 0% 80% 0% 0% †
 pystone 
Python 30.250.251,6162300  20% 12% 36% 12% 17% 17% 9% 100% †
PyPy 30.080.10?2300  10% 0% 0% 0% 10% 0% 70% 0% †
 jsonbench 
Python 32.642.6412,316322  100% 4% 3% 2% 4% 4% 6% 1% †
PyPy 30.940.9672,596322  0% 0% 0% 99% 1% 0% 0% 1% †
 fasta 
Python 37.494.4412,9362016  24% 55% 29% 21% 18% 71% 16% 18% †
PyPy 31.481.5068,2161698  1% 0% 0% 1% 0% 0% 0% 99% †
 fibonacci 
Python 30.560.568,584182  12% 50% 17% 5% 54% 7% 11% 2% †
PyPy 30.160.18?182  0% 0% 0% 0% 0% 0% 0% 89% †
 fannkuch-redux 
Python 314.552.2012,8121069  94% 95% 94% 90% 98% 90% 93% 90%
PyPy 32.490.6681,2241069  43% 41% 44% 40% 81% 40% 43% 49%
 fib50 
Python 32.132.149,276136  5% 4% 4% 2% 5% 3% 100% 2% †
PyPy 30.600.6268,848136  0% 0% 0% 97% 0% 0% 0% 0% †
 meteor-contest 
Python 32.602.629,2561443  60% 13% 10% 11% 54% 12% 11% 12% †
PyPy 30.690.7071,6721443  0% 0% 0% 0% 97% 1% 0% 0% †
 richards 
Python 30.900.908,7282434  19% 18% 18% 14% 100% 13% 12% 15% †
PyPy 30.190.21?2434  5% 0% 90% 0% 0% 0% 0% 5% †
 n-body 
Python 338.1938.198,0921315  19% 16% 100% 13% 14% 14% 12% 12% †
PyPy 33.233.2566,3601315  0% 0% 0% 0% 0% 0% 99% 0% †
 mandelbrot 
Python 392.9312.6961,7403852  96% 99% 98% 99% 99% 96% 98% 98%
No program
 binary-trees-redux
   No programs

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

 4 : Are there other Python 3 programs for these benchmarks?

Remember - those are just the fastest Python 3 and PyPy 3 programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Python 3.

Maybe one of those other Python 3 programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Python 3 and PyPy 3 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 3 : the new Python 

Python 3.3.1 (default, Apr 11 2013, 12:45:45)
[GCC 4.7.2] on linux

"3.x is the newest branch of Python and the intended future of the language."

"Van Rossum: Python is not too slow"

Home Page: Python 3.3.1 was released on April 7th, 2013.

Revised BSD license

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