vs

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

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

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

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

 PyPy 3 used what fraction? used how many times more? 
Benchmark Time Memory Code
 n-body1/8 ±
 thread-ring1/6 ±
 richards1/6 ±
 fannkuch-redux1/4 ±
 pystone †1/4 ±
 meteor-contest †1/4 ±
 fasta †1/3 ±
 fib50 †1/2 ±
 fibonacci †1/2 ±
 k-nucleotide±?±
 binary-trees±±
 chameneos-redux± ±
 spectral-norm±?
 fasta-redux †± ±
 reverse-complement †?±
 regex-dna?±
 jsonbench ±
 iobench ±
 pidigits †19×?±
 PyPy 3 used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)1/81/81/4±19×

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

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

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

Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
 n-body 
PyPy 37.987.9837,9441315  4% 1% 2% 100%
Python 360.1960.208,8761315  1% 2% 1% 100%
 thread-ring 
PyPy 30.120.13?407  7% 100% 0% 0%
Python 30.810.819,096407  0% 100% 10% 2%
 richards 
PyPy 30.260.261,4322434  100% 0% 0% 0%
Python 31.611.628,7162434  5% 100% 0% 1%
 fannkuch-redux 
PyPy 34.151.21202,3601271  88% 88% 86% 93%
Python 320.255.3755,580894  95% 97% 95% 96%
 pystone 
PyPy 30.080.09?2303  13% 11% 0% 100% †
Python 30.370.371,7442303  3% 0% 100% 0% †
 meteor-contest 
PyPy 31.191.1947,6921540  12% 8% 100% 7% †
Python 34.554.558,7081443  0% 100% 0% 0% †
 fasta 
PyPy 32.252.2640,6481698  7% 100% 3% 1% †
Python 316.517.24421,0882016  61% 80% 52% 55% †
 fib50 
PyPy 31.861.8645,820136  49% 97% 65% 29% †
Python 34.274.279,048136  2% 1% 100% 2% †
 fibonacci 
PyPy 30.370.371,432182  39% 100% 34% 32% †
Python 30.840.859,448182  4% 2% 100% 5% †
 k-nucleotide 
PyPy 30.100.10?594  0% 100% 9% 0%
Python 30.140.15?594  0% 100% 0% 0%
 binary-trees 
PyPy 32.791.11269,188741  63% 60% 75% 59%
Python 35.391.4768,592741  95% 92% 94% 91%
 chameneos-redux 
PyPy 3149.7780.5639,2161191  37% 33% 44% 49%
Python 3175.2995.248,8201191  31% 32% 49% 50%
 spectral-norm 
PyPy 30.130.13?594  0% 8% 100% 0%
Python 30.130.13?394  0% 0% 100% 0%
 fasta-redux 
PyPy 30.570.5747,8961115  48% 42% 100% 39% †
Python 30.380.391,6801115  3% 100% 0% 3% †
 reverse-complement 
PyPy 30.040.04?458  0% 0% 0% 100% †
Python 30.030.03?458  0% 100% 25% 0% †
 regex-dna 
PyPy 30.100.11?524  100% 9% 0% 9%
Python 30.060.06?524  0% 100% 0% 0%
 jsonbench 
PyPy 313.3213.3354,576322  4% 3% 100% 2%
Python 34.734.7412,472322  0% 6% 2% 96%
 iobench 
PyPy 326.6426.6545,840367  3% 1% 2% 100%
Python 34.774.778,588367  0% 4% 1% 100%
 pidigits 
PyPy 30.620.6350,280379  3% 10% 100% 3% †
Python 30.030.03?379  100% 0% 25% 0% †
 templates 
No program
Python 31.381.3916,080322  1% 99% 0% 1%
 mandelbrot 
No program
Python 398.7025.71184,9483832  97% 98% 98% 99%
 binary-trees-redux
   No programs

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

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

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

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

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest PyPy 3 and Python 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.

 PyPy 3 : the new Python JIT 

 

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