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 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-body	1/6		±
fib50	1/3		±
richards	1/3		±
meteor-contest	1/3		±
jsonbench	1/2		±
fasta †	1/2		±
pystone	±	?	±
spectral-norm †	±	?	2×
fasta-redux	±	?	±
thread-ring †	±		±
fannkuch-redux	±		±
k-nucleotide †	2×	?	±
iobench	2×		±
reverse-complement †	3×	?	±
regex-dna	4×	?	±
binary-trees	4×	36×	±
pidigits †	102×	?	±

PyPy 3 used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/6	1/6	1/2	±	2×	4×	102×

† 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 3	3.19	3.19	67,464	1315	0% 0% 100% 0% 0% 1% 0% 1%
Python 3	20.69	20.70	10,584	1315	1% 0% 0% 0% 0% 100% 0% 1%
fib50
PyPy 3	0.59	0.59	70,684	136	2% 0% 100% 0% 0% 2% 0% 2%
Python 3	1.63	1.64	10,196	136	100% 1% 2% 1% 1% 0% 0% 1%
richards
PyPy 3	0.18	0.18	?	2434	0% 0% 0% 100% 0% 6% 0% 10%
Python 3	0.49	0.49	11,092	2434	2% 4% 0% 2% 2% 100% 0% 0%
meteor-contest
PyPy 3	0.64	0.65	74,028	1443	3% 2% 100% 2% 0% 6% 2% 3%
Python 3	1.70	1.70	10,964	1443	1% 1% 1% 0% 0% 0% 0% 99%
jsonbench
PyPy 3	0.96	0.97	76,696	322	0% 0% 1% 0% 0% 0% 100% 2%
Python 3	2.00	2.00	13,956	322	2% 0% 1% 100% 0% 1% 1% 2%
fasta
PyPy 3	1.36	1.37	70,148	1698	4% 1% 2% 1% 3% 100% 2% 2% †
Python 3	4.91	2.71	65,720	2016	44% 38% 4% 3% 60% 0% 26% 12% †
pystone
PyPy 3	0.08	0.09	?	2300	0% 0% 88% 0% 0% 12% 11% 0%
Python 3	0.11	0.12	?	2300	100% 8% 0% 0% 0% 0% 0% 0%
spectral-norm
PyPy 3	0.09	0.09	?	594	0% 18% 100% 0% 11% 0% 0% 11% †
Python 3	0.11	0.11	?	394	100% 0% 0% 0% 0% 0% 8% 0% †
fasta-redux
PyPy 3	0.15	0.15	?	1115	6% 100% 0% 0% 0% 12% 0% 0%
Python 3	0.17	0.17	?	1115	100% 6% 6% 0% 0% 0% 0% 6%
thread-ring
PyPy 3	0.13	0.26	128	406	22% 15% 50% 38% 8% 8% 4% 4% †
Python 3	0.28	0.28	1,920	406	100% 7% 0% 0% 4% 0% 0% 3% †
fannkuch-redux
PyPy 3	1.72	0.67	80,080	1008	14% 15% 55% 53% 47% 40% 46% 1%
Python 3	4.72	0.65	99,300	894	91% 97% 91% 91% 85% 92% 91% 93%
k-nucleotide
PyPy 3	0.10	0.10	?	594	0% 100% 0% 0% 0% 9% 0% 0% †
Python 3	0.08	0.06	?	801	57% 50% 14% 0% 25% 17% 29% 17% †
iobench
PyPy 3	5.29	5.29	74,204	367	100% 0% 0% 1% 0% 0% 2% 0%
Python 3	2.99	3.03	10,512	367	1% 2% 0% 0% 100% 0% 0% 1%
reverse-complement
PyPy 3	0.06	0.06	?	458	0% 0% 0% 0% 0% 0% 0% 100% †
Python 3	0.02	0.02	?	458	33% 0% 100% 0% 0% 0% 0% 0% †
regex-dna
PyPy 3	0.16	0.16	?	524	100% 6% 0% 0% 12% 0% 6% 0%
Python 3	0.04	0.04	?	524	0% 100% 0% 0% 25% 0% 0% 20%
binary-trees
PyPy 3	2.28	0.90	128,080	741	63% 24% 24% 26% 27% 27% 36% 37%
Python 3	1.03	0.22	3,584	741	81% 62% 55% 57% 64% 57% 62% 57%
pidigits
PyPy 3	2.84	2.84	75,604	322	76% 2% 0% 0% 1% 24% 1% 0% †
Python 3	0.03	0.03	?	379	25% 0% 100% 0% 0% 0% 33% 25% †
mandelbrot
	No program
Python 3	25.42	3.34	317,300	3852	95% 99% 94% 96% 95% 94% 96% 96%
templates
	No program
Python 3	0.57	0.58	20,176	322	100% 0% 0% 2% 0% 3% 0% 2%
fibonacci
PyPy 3	0.16	0.16	?	182	94% 0% 6% 6% 0% 0% 0% 0%
	No program
chameneos-redux
	No program
Python 3	275.05	194.31	16,748	1191	11% 14% 14% 14% 17% 21% 18% 22%
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.

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 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.

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 3 : the new Python JIT 

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