vs

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

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

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

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

 PyPy used what fraction? used how many times more? 
Benchmark Time Memory Code
 n-body †1/8 ±
 fannkuch-redux1/5 ±
 richards1/5 ±
 thread-ring1/4 ±
 jsonbench1/4 ±
 meteor-contest1/3 ±
 fasta1/3 ±
 fibonacci1/2 ±
 pystone1/2 ±
 iobench1/2 ±
 binary-trees±±±
 chameneos-redux± ±
 k-nucleotide±?±
 spectral-norm?
 templates ±
 regex-dna?±
 reverse-complement?±
 pidigits221×?±
 PyPy used what fraction? used how many times more? 
Time-used  |-  |---  25% median  75%  ---|  -|
(Elapsed secs)1/81/81/41/2221×

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

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

 3 : Are the PyPy 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 program are shown for comparison against measurements of the fastest Python 2 program.

Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
 n-body 
PyPy6.606.6376,3241337  5% 100% 1% 1% †
Python 253.1753.336,6921337  30% 28% 64% 20% †
 fannkuch-redux 
PyPy2.860.9580,3201009  73% 94% 68% 72%
Python 217.084.6543,6201009  97% 96% 98% 97%
 richards 
PyPy0.230.231,5602423  8% 100% 4% 0%
Python 21.111.127,1002423  100% 0% 0% 3%
 thread-ring 
PyPy0.140.14?407  7% 0% 7% 100%
Python 20.550.557,060407  100% 4% 0% 0%
 jsonbench 
PyPy1.241.2682,188322  5% 0% 2% 98%
Python 24.564.5717,080322  3% 100% 3% 3%
 meteor-contest 
PyPy0.860.8784,5161579  5% 100% 1% 0%
Python 22.642.657,1561485  3% 100% 1% 2%
 fasta 
PyPy2.462.4880,312900  6% 0% 1% 99%
Python 26.646.6513,444900  3% 100% 4% 4%
 fibonacci 
PyPy0.270.271,616181  4% 0% 0% 96%
Python 20.670.677,240181  1% 100% 3% 0%
 pystone 
PyPy0.110.11?2301  0% 0% 91% 0%
Python 20.230.248522301  0% 96% 4% 0%
 iobench 
PyPy22.9624.0586,188370  100% 1% 1% 1%
Python 237.3937.426,992370  2% 100% 2% 3%
 binary-trees 
PyPy1.720.8487,340743  50% 69% 48% 50%
Python 23.771.1958,912743  91% 82% 83% 88%
 chameneos-redux 
PyPy140.9777.1974,7921192  45% 39% 43% 39%
Python 2152.7883.777,1001192  44% 45% 42% 39%
 k-nucleotide 
PyPy0.110.11?593  17% 0% 0% 100%
Python 20.080.08?593  100% 0% 0% 11%
 spectral-norm 
PyPy0.140.14?594  7% 0% 0% 93%
Python 20.080.08?394  0% 13% 0% 89%
 templates 
PyPy2.642.6795,108307  5% 1% 1% 99%
Python 21.091.0915,876307  4% 4% 2% 100%
 regex-dna 
PyPy0.130.13?501  7% 93% 0% 0%
Python 20.030.03?501  0% 0% 100% 0%
 reverse-complement 
PyPy0.080.08?455  13% 100% 0% 0%
Python 20.010.01?431  0% 100% 0% 0%
 pidigits 
PyPy2.923.0987,368322  99% 1% 2% 2%
Python 20.010.01?380  0% 0% 100% 0%
 fasta-redux 
PyPy0.270.281,5121115  100% 0% 0% 3%
No program
 mandelbrot 
No program
Python 275.6320.23176,5243832  95% 100% 97% 96%
 fib50
   No programs
 binary-trees-redux
   No programs

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

 4 : Are there other PyPy programs for these benchmarks?

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

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

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest PyPy and Python 2 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 : the old PyPy 

 

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