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 †	1/124		±
regex-dna †	1/4	?	±
reverse-complement †	1/3	?	±
binary-trees	1/3	1/2	±
iobench	1/2		±
k-nucleotide †	1/2	?	3×
thread-ring	±		±
fannkuch-redux	±		±
spectral-norm †	±	?	1/2
fasta-redux	±	?	±
fasta †	2×		±
jsonbench	2×		±
pystone	2×	?	±
meteor-contest	3×		±
fib50	3×		±
richards	4×	?	±
n-body	9×		±

Python 3 used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/124	1/124	1/2	±	2×	5×	9×

† 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	0.02	0.02	?	379	25% 0% 0% 33% 0% 0% 0% 100% †
PyPy 3	2.84	2.84	75,604	322	76% 2% 0% 0% 1% 24% 1% 0% †
regex-dna
Python 3	0.04	0.04	?	524	0% 0% 100% 0% 0% 0% 0% 0% †
PyPy 3	0.16	0.16	?	524	100% 6% 0% 0% 12% 0% 6% 0% †
reverse-complement
Python 3	0.02	0.02	?	449	0% 33% 100% 0% 0% 0% 0% 0% †
PyPy 3	0.06	0.06	?	458	0% 0% 0% 0% 0% 0% 0% 100% †
binary-trees
Python 3	1.52	0.29	80,548	741	67% 69% 66% 64% 63% 59% 67% 79%
PyPy 3	2.28	0.90	128,080	741	63% 24% 24% 26% 27% 27% 36% 37%
iobench
Python 3	2.84	2.84	9,080	367	2% 2% 0% 100% 0% 1% 1% 1%
PyPy 3	5.29	5.29	74,204	367	100% 0% 0% 1% 0% 0% 2% 0%
k-nucleotide
Python 3	0.12	0.06	?	2011	17% 20% 20% 83% 33% 17% 20% 20% †
PyPy 3	0.10	0.10	?	594	0% 100% 0% 0% 0% 9% 0% 0% †
thread-ring
Python 3	20.45	38.97	11,040	448	4% 8% 5% 5% 4% 7% 3% 11%
PyPy 3	28.61	37.17	73,036	448	19% 7% 4% 3% 12% 24% 5% 15%
fannkuch-redux
Python 3	5.43	0.73	89,420	894	88% 92% 93% 93% 95% 97% 93% 93%
PyPy 3	1.72	0.67	80,080	1008	14% 15% 55% 53% 47% 40% 46% 1%
spectral-norm
Python 3	0.10	0.10	?	394	0% 92% 0% 0% 0% 0% 0% 0% †
PyPy 3	0.09	0.09	?	594	0% 18% 100% 0% 11% 0% 0% 11% †
fasta-redux
Python 3	0.19	0.19	?	1115	100% 0% 0% 0% 0% 5% 0% 0%
PyPy 3	0.15	0.15	?	1115	6% 100% 0% 0% 0% 12% 0% 0%
fasta
Python 3	4.80	2.66	63,220	2016	39% 6% 54% 3% 7% 41% 32% 5% †
PyPy 3	1.36	1.37	70,148	1698	4% 1% 2% 1% 3% 100% 2% 2% †
jsonbench
Python 3	2.14	2.15	13,136	322	0% 2% 0% 1% 0% 1% 100% 1%
PyPy 3	0.96	0.97	76,696	322	0% 0% 1% 0% 0% 0% 100% 2%
pystone
Python 3	0.19	0.19	?	2300	5% 5% 0% 0% 0% 100% 0% 0%
PyPy 3	0.08	0.09	?	2300	0% 0% 88% 0% 0% 12% 11% 0%
meteor-contest
Python 3	2.09	2.10	9,528	1443	1% 0% 0% 0% 0% 0% 0% 100%
PyPy 3	0.64	0.65	74,028	1443	3% 2% 100% 2% 0% 6% 2% 3%
fib50
Python 3	2.04	2.04	8,348	136	2% 0% 0% 0% 0% 0% 100% 0%
PyPy 3	0.59	0.59	70,684	136	2% 0% 100% 0% 0% 2% 0% 2%
richards
Python 3	0.70	0.70	9,424	2434	0% 0% 0% 0% 0% 100% 0% 1%
PyPy 3	0.18	0.18	?	2434	0% 0% 0% 100% 0% 6% 0% 10%
n-body
Python 3	28.83	28.83	8,844	1315	0% 0% 0% 0% 0% 0% 100% 0%
PyPy 3	3.19	3.19	67,464	1315	0% 0% 100% 0% 0% 1% 0% 1%
mandelbrot
Python 3	37.12	4.84	294,184	3852	96% 98% 96% 94% 94% 98% 97% 97%
	No program
templates
Python 3	0.63	0.64	18,364	322	4% 0% 0% 100% 0% 0% 0% 0%
	No program
chameneos-redux
Python 3	182.63	264.55	14,784	1191	5% 3% 3% 2% 12% 11% 12% 11%
	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.

  Home   Conclusions   License   Play