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 Python 3 programs faster? At a glance.

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

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

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

Python 3 used what fraction? used how many times more?
Benchmark	Time	Memory	Code
pidigits †	1/102		±
binary-trees	1/4	1/36	±
regex-dna	1/4	?	±
reverse-complement †	1/3	?	±
iobench	1/2		±
k-nucleotide †	1/2	?	±
fannkuch-redux	±		±
thread-ring †	±		±
fasta-redux	±	?	±
spectral-norm †	±	?	1/2
pystone	±	?	±
fasta †	2×		±
jsonbench	2×		±
meteor-contest	3×		±
richards	3×	?	±
fib50	3×		±
n-body	6×		±

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

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

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

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

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

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

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

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

 5 : Are there other faster programs for these benchmarks?

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

 Python 3 : the new Python 

Python 3.3.1 (default, Apr 11 2013, 12:45:45)
[GCC 4.7.2] on linux

"3.x is the newest branch of Python and the intended future of the language."

"Van Rossum: Python is not too slow"

Home Page: Python 3.3.1 was released on April 7th, 2013.

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