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
 richards †1/5 ±
 n-body †1/5 ±
 thread-ring1/4 ±
 fib501/4 ±
 meteor-contest †1/3 ±
 pystone1/3 ±
 fannkuch-redux1/2 ±
 fibonacci1/2 ±
 fasta †1/2 ±
 fasta-redux± ±
 chameneos-redux± ±
 spectral-norm †±?
 k-nucleotide †±?±
 binary-trees±±
 jsonbench † ±
 reverse-complement?±
 templates ±
 regex-dna †?±
 iobench † ±
 pidigits †114×?±
 PyPy 3 used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)1/51/51/3±114×

† 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
 richards 
PyPy 30.250.261,2962434  4% 12% 96% 12% †
Python 31.331.339,3722434  100% 1% 2% 1% †
 n-body 
PyPy 38.368.8966,6921315  67% 65% 48% 42% †
Python 344.4444.518,9161315  23% 1% 78% 1% †
 thread-ring 
PyPy 30.140.14?407  0% 0% 100% 7%
Python 30.570.579,104407  100% 0% 0% 0%
 fib50 
PyPy 30.850.8568,744136  2% 100% 7% 0%
Python 33.223.239,200136  1% 25% 1% 75%
 meteor-contest 
PyPy 31.181.2273,8681443  42% 35% 45% 99% †
Python 33.473.489,5601443  100% 2% 1% 1% †
 pystone 
PyPy 30.100.11?2303  9% 10% 100% 0%
Python 30.280.281,8362303  3% 7% 100% 0%
 fannkuch-redux 
PyPy 33.321.3877,4721271  59% 91% 57% 58%
Python 312.623.2953,628894  99% 94% 98% 97%
 fibonacci 
PyPy 30.300.301,308182  17% 23% 100% 24%
Python 30.680.689,656182  51% 69% 6% 7%
 fasta 
PyPy 31.971.9966,7161698  2% 3% 1% 99% †
Python 38.794.2475,1322016  55% 63% 63% 32% †
 fasta-redux 
PyPy 30.250.251,1601115  0% 4% 100% 4%
Python 30.280.281,8401115  0% 7% 100% 3%
 chameneos-redux 
PyPy 3151.0182.7864,0961191  44% 43% 43% 44%
Python 3159.9289.519,6001191  40% 41% 37% 44%
 spectral-norm 
PyPy 30.130.14?594  0% 14% 100% 7% †
Python 30.130.13?394  8% 0% 0% 100% †
 k-nucleotide 
PyPy 30.120.12?594  8% 15% 8% 100% †
Python 30.110.12?594  100% 0% 0% 0% †
 binary-trees 
PyPy 32.671.3090,260706  50% 41% 77% 47%
Python 33.761.1159,900706  95% 83% 84% 83%
 jsonbench 
PyPy 36.306.3780,564322  19% 28% 89% 17% †
Python 33.613.6211,756322  2% 1% 2% 100% †
 reverse-complement 
PyPy 30.070.07?449  0% 100% 0% 13%
Python 30.020.03?449  0% 0% 100% 0%
 templates 
PyPy 33.523.56105,072322  6% 100% 7% 6%
Python 31.161.1621,100322  1% 3% 100% 2%
 regex-dna 
PyPy 30.210.211,132524  38% 86% 100% 45% †
Python 30.050.05?524  0% 100% 0% 0% †
 iobench 
PyPy 321.8021.9274,348367  94% 15% 8% 8% †
Python 34.604.619,164367  1% 1% 2% 100% †
 pidigits 
PyPy 33.503.5575,484322  31% 94% 27% 27% †
Python 30.030.03?379  100% 0% 0% 0% †
 mandelbrot 
No program
Python 367.6817.70190,5283832  97% 99% 98% 96%
 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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