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 2 programs faster? At a glance.

Each chart bar shows, for one unidentified benchmark, how much the fastest Python 2 program used compared to the fastest PyPy 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 2 programs faster? Approximately.

Each table row shows, for one named benchmark, how much the fastest Python 2 program used compared to the fastest PyPy program.

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

Python 2 used what fraction? used how many times more?
Benchmark	Time	Memory	Code
reverse-complement †		?	±
regex-dna †	1/4	?	±
binary-trees	1/2	1/6	±
pidigits	±		±
k-nucleotide †	±	?	±
iobench	2×		±
pystone †	2×	?	±
fibonacci †	3×	?	±
meteor-contest	3×		±
fasta	3×		±
thread-ring	3×	?	±
jsonbench	5×		±
richards †	5×	?	±
fannkuch-redux	5×		±
fib50	5×		±
n-body	12×		±
spectral-norm †	12×	?	±

Python 2 used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)			±	3×	5×	11×	12×

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

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

 3 : Are the Python 2 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 2 program are shown for comparison against measurements of the fastest PyPy program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
reverse-complement
Python 2	0.01		?	432	†
PyPy	0.06	0.06	?	432	0% 14% 0% 0% 0% 14% 14% 100% †
regex-dna
Python 2	0.03	0.03	?	501	100% 0% 0% 0% 0% 0% 0% 33% †
PyPy	0.10	0.11	?	501	100% 0% 0% 0% 0% 0% 0% 0% †
binary-trees
Python 2	2.02	0.47	16,340	743	54% 57% 56% 54% 64% 57% 63% 54%
PyPy	2.27	1.04	91,028	743	32% 67% 25% 28% 24% 28% 22% 24%
pidigits
Python 2	2.13	2.13	7,128	322	0% 0% 0% 0% 1% 0% 100% 0%
PyPy	2.98	2.99	81,732	322	100% 0% 0% 0% 1% 0% 0% 0%
k-nucleotide
Python 2	0.07	0.07	?	593	100% 0% 0% 0% 0% 0% 0% 0% †
PyPy	0.09	0.09	?	593	22% 18% 0% 100% 0% 0% 0% 0% †
iobench
Python 2	24.86	24.86	6,336	370	0% 0% 100% 0% 0% 0% 0% 0%
PyPy	14.73	14.73	80,864	370	0% 0% 100% 0% 0% 0% 1% 0%
pystone
Python 2	0.20	0.20	?	2301	0% 0% 0% 0% 0% 100% 0% 0% †
PyPy	0.08	0.09	?	2301	100% 10% 0% 0% 0% 20% 0% 11% †
fibonacci
Python 2	0.49	0.49	6,772	181	0% 100% 2% 0% 0% 0% 0% 0% †
PyPy	0.17	0.17	?	181	6% 0% 0% 0% 0% 6% 11% 100% †
meteor-contest
Python 2	2.14	2.14	6,828	1485	0% 0% 100% 0% 0% 0% 0% 1%
PyPy	0.67	0.67	80,972	1485	4% 0% 1% 99% 0% 4% 0% 0%
fasta
Python 2	5.87	5.91	12,988	900	0% 0% 1% 0% 0% 99% 0% 0%
PyPy	1.75	1.75	77,640	900	2% 2% 2% 2% 100% 3% 2% 1%
thread-ring
Python 2	0.38	0.39	2,800	407	3% 3% 97% 0% 0% 0% 0% 0%
PyPy	0.11	0.11	?	407	0% 8% 92% 0% 9% 0% 0% 8%
jsonbench
Python 2	4.25	4.26	15,884	322	0% 0% 100% 0% 0% 0% 0% 0%
PyPy	0.90	0.90	80,556	322	0% 0% 100% 3% 1% 0% 1% 0%
richards
Python 2	0.87	0.87	6,348	2423	1% 0% 100% 0% 1% 0% 0% 0% †
PyPy	0.18	0.18	?	2423	18% 5% 100% 0% 0% 5% 5% 0% †
fannkuch-redux
Python 2	11.02	2.85	11,460	1009	6% 4% 97% 95% 94% 0% 1% 96%
PyPy	1.68	0.58	322,008	1009	41% 19% 66% 16% 43% 68% 66% 32%
fib50
Python 2	2.40	2.40	37,872	130	0% 0% 100% 0% 0% 0% 0% 0%
PyPy	0.48	0.48	77,576	130	4% 100% 0% 2% 2% 0% 2% 0%
n-body
Python 2	38.78	38.78	6,684	1337	0% 0% 0% 0% 0% 1% 0% 100%
PyPy	3.29	3.29	74,856	1337	0% 100% 1% 0% 1% 1% 1% 1%
spectral-norm
Python 2	4.23	1.13	11,728	595	78% 71% 51% 30% 25% 35% 40% 59% †
PyPy	0.09	0.09	?	594	0% 0% 0% 100% 18% 0% 0% 0% †
templates
	No program
PyPy	2.37	2.41	98,384	307	0% 6% 94% 0% 0% 0% 1% 0%
fasta-redux
	No program
PyPy	0.19	0.19	?	1115	0% 0% 5% 100% 5% 5% 0% 0%
mandelbrot
	No programs
chameneos-redux
	No programs
binary-trees-redux
	No programs

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

 4 : Are there other Python 2 programs for these benchmarks?

Remember - those are just the fastest Python 2 and PyPy programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Python 2.

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 2 programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Python 2 and PyPy 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 2 : the old Python 

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