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

- all benchmarks - n-body fannkuch-redux meteor-contest fasta fasta-redux fibonacci fib50 spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux templates thread-ring binary-trees-redux binary-trees pystone richards iobench jsonbench - all languages - Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython

vs Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython x64 octa-core

 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 Pyston 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 Pyston 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
thread-ring	1/386		±
spectral-norm †	1/4		±
jsonbench	1/2		±
meteor-contest	1/2		±
fasta	±		1/2
fannkuch-redux	±		±
pidigits	±		±
fasta-redux	±	?	±
k-nucleotide	2×	?	±
regex-dna †	2×	?	±
reverse-complement	5×	?	1/2
binary-trees	7×	?	±

PyPy used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/386	1/386	1/2	±	2×	4×	7×

† 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 Pyston program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
thread-ring
PyPy	0.11	0.11	?	407	0% 8% 92% 0% 9% 0% 0% 8%
Pyston	23.20	43.66	10,748	448	17% 10% 7% 5% 7% 6% 7% 7%
spectral-norm
PyPy	0.09	0.09	?	594	0% 0% 0% 100% 18% 0% 0% 0% †
Pyston	1.40	0.39	43,572	595	55% 68% 57% 37% 37% 37% 37% 39% †
jsonbench
PyPy	0.90	0.90	80,556	322	0% 0% 100% 3% 1% 0% 1% 0%
Pyston	1.79	1.79	11,900	322	1% 1% 1% 1% 2% 1% 100% 2%
meteor-contest
PyPy	0.67	0.67	80,972	1485	4% 0% 1% 99% 0% 4% 0% 0%
Pyston	1.23	1.23	8,868	1485	2% 2% 1% 0% 2% 1% 0% 100%
fasta
PyPy	1.75	1.75	77,640	900	2% 2% 2% 2% 100% 3% 2% 1%
Pyston	2.01	2.04	8,140	1698	2% 1% 0% 0% 100% 1% 0% 1%
fannkuch-redux
PyPy	1.68	0.58	322,008	1009	41% 19% 66% 16% 43% 68% 66% 32%
Pyston	3.22	0.45	95,304	1069	91% 98% 91% 91% 85% 91% 91% 93%
pidigits
PyPy	2.98	2.99	81,732	322	100% 0% 0% 0% 1% 0% 0% 0%
Pyston	2.07	2.07	9,304	322	1% 100% 0% 0% 0% 0% 0% 1%
fasta-redux
PyPy	0.19	0.19	?	1115	0% 0% 5% 100% 5% 5% 0% 0%
Pyston	0.13	0.13	?	1115	0% 100% 8% 0% 0% 0% 0% 0%
k-nucleotide
PyPy	0.09	0.09	?	593	22% 18% 0% 100% 0% 0% 0% 0%
Pyston	0.07	0.05	?	801	0% 20% 0% 100% 20% 0% 17% 20%
regex-dna
PyPy	0.10	0.11	?	501	100% 0% 0% 0% 0% 0% 0% 0% †
Pyston	0.08	0.05	?	612	40% 50% 20% 0% 0% 40% 0% 25% †
reverse-complement
PyPy	0.06	0.06	?	432	0% 14% 0% 0% 0% 14% 14% 100%
Pyston	0.01	0.01	?	878	0% 50% 0% 0% 0% 0% 100% 0%
binary-trees
PyPy	2.27	1.04	91,028	743	32% 67% 25% 28% 24% 28% 22% 24%
Pyston	0.75	0.16	?	741	61% 81% 62% 50% 65% 59% 62% 61%
templates
PyPy	2.37	2.41	98,384	307	0% 6% 94% 0% 0% 0% 1% 0%
	No program
richards
PyPy	0.18	0.18	?	2423	18% 5% 100% 0% 0% 5% 5% 0%
	No program
pystone
PyPy	0.08	0.09	?	2301	100% 10% 0% 0% 0% 20% 0% 11%
	No program
n-body
PyPy	3.29	3.29	74,856	1337	0% 100% 1% 0% 1% 1% 1% 1%
	No program
chameneos-redux
	No program
Pyston	151.46	230.98	14,316	1191	9% 6% 6% 6% 8% 8% 7% 8%
iobench
PyPy	14.73	14.73	80,864	370	0% 0% 100% 0% 0% 0% 1% 0%
	No program
fibonacci
PyPy	0.17	0.17	?	181	6% 0% 0% 0% 0% 6% 11% 100%
	No program
fib50
PyPy	0.48	0.48	77,576	130	4% 100% 0% 2% 2% 0% 2% 0%
	No program
mandelbrot
	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 Pyston programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for PyPy.

Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython

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 Pyston programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.

n-body fannkuch-redux meteor-contest fasta fasta-redux fibonacci fib50 spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux templates thread-ring binary-trees-redux binary-trees pystone richards iobench jsonbench

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

 PyPy : the old PyPy 

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