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 Cython programs faster? At a glance.

Each chart bar shows, for one unidentified benchmark, how much the fastest Cython 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 Cython programs faster? Approximately.

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

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

Cython used what fraction? used how many times more?
Benchmark	Time	Memory	Code
iobench	1/160		±
fib50	1/3		±
n-body	1/2		±
pystone	1/2	?	±
fasta-redux	±	?	±
pidigits	±	?	±
reverse-complement †	±	?	±
thread-ring	±		±
fasta †	±		1/2
regex-dna †	±	?	±
jsonbench	±		±
k-nucleotide	±	?	±
templates	±		±
richards	±		±
meteor-contest	±		±
chameneos-redux †	±		±

Cython used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/160	1/160	1/2	±	±	±	±

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

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

 3 : Are the Cython 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 Cython 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
iobench
Cython	0.02	0.02	?	366	0% 0% 0% 0% 0% 100% 0% 0%
Python 3	2.99	3.03	10,512	367	1% 2% 0% 0% 100% 0% 0% 1%
fib50
Cython	0.53	0.54	8,752	159	2% 0% 100% 4% 0% 2% 2% 4%
Python 3	1.63	1.64	10,196	136	100% 1% 2% 1% 1% 0% 0% 1%
n-body
Cython	8.33	8.33	8,944	1392	0% 100% 0% 0% 1% 0% 0% 1%
Python 3	20.69	20.70	10,584	1315	1% 0% 0% 0% 0% 100% 0% 1%
pystone
Cython	0.07	0.07	?	2401	12% 0% 88% 0% 0% 0% 0% 0%
Python 3	0.11	0.12	?	2300	100% 8% 0% 0% 0% 0% 0% 0%
fasta-redux
Cython	0.11	0.12	?	1169	100% 0% 0% 0% 0% 0% 0% 0%
Python 3	0.17	0.17	?	1115	100% 6% 6% 0% 0% 0% 0% 6%
pidigits
Cython	0.02	0.02	?	349	0% 0% 100% 0% 0% 33% 0% 0%
Python 3	0.03	0.03	?	379	25% 0% 100% 0% 0% 0% 33% 25%
reverse-complement
Cython	0.02	0.02	?	449	0% 0% 0% 0% 0% 0% 100% 0% †
Python 3	0.02	0.02	?	458	33% 0% 100% 0% 0% 0% 0% 0% †
thread-ring
Cython	0.23	0.23	3,120	419	4% 0% 100% 0% 0% 0% 4% 4%
Python 3	0.28	0.28	1,920	406	100% 7% 0% 0% 4% 0% 0% 3%
fasta
Cython	2.51	2.52	8,880	945	4% 0% 0% 100% 0% 1% 0% 0% †
Python 3	4.91	2.71	65,720	2016	44% 38% 4% 3% 60% 0% 26% 12% †
regex-dna
Cython	0.04	0.04	?	524	20% 0% 0% 0% 100% 0% 0% 0% †
Python 3	0.04	0.04	?	524	0% 100% 0% 0% 25% 0% 0% 20% †
jsonbench
Cython	2.16	2.16	13,212	323	3% 0% 1% 0% 0% 1% 0% 100%
Python 3	2.00	2.00	13,956	322	2% 0% 1% 100% 0% 1% 1% 2%
k-nucleotide
Cython	0.07	0.07	?	618	100% 22% 0% 0% 0% 0% 0% 0%
Python 3	0.08	0.06	?	801	57% 50% 14% 0% 25% 17% 29% 17%
templates
Cython	0.64	0.65	18,396	328	2% 2% 2% 0% 3% 0% 100% 2%
Python 3	0.57	0.58	20,176	322	100% 0% 0% 2% 0% 3% 0% 2%
richards
Cython	0.58	0.58	9,072	2467	100% 2% 0% 0% 2% 0% 2% 0%
Python 3	0.49	0.49	11,092	2434	2% 4% 0% 2% 2% 100% 0% 0%
meteor-contest
Cython	2.35	2.35	11,184	1334	100% 0% 0% 0% 2% 1% 0% 0%
Python 3	1.70	1.70	10,964	1443	1% 1% 1% 0% 0% 0% 0% 99%
chameneos-redux
Cython	177.89	271.05	12,888	1203	6% 3% 3% 3% 11% 10% 10% 11% †
Python 3	275.05	194.31	16,748	1191	11% 14% 14% 14% 17% 21% 18% 22% †
binary-trees
	No program
Python 3	1.03	0.22	3,584	741	81% 62% 55% 57% 64% 57% 62% 57%
fannkuch-redux
	No program
Python 3	4.72	0.65	99,300	894	91% 97% 91% 91% 85% 92% 91% 93%
spectral-norm
	No program
Python 3	0.11	0.11	?	394	100% 0% 0% 0% 0% 0% 8% 0%
mandelbrot
	No program
Python 3	25.42	3.34	317,300	3852	95% 99% 94% 96% 95% 94% 96% 96%
fibonacci
	No programs
binary-trees-redux
	No programs

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

 4 : Are there other Cython programs for these benchmarks?

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

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 Cython programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Cython 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.

 Cython : Python compiled to C 

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