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 Nuitka programs faster? At a glance.

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

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

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

Nuitka used what fraction? used how many times more?
Benchmark	Time	Memory	Code
pidigits	1/100		±
iobench	1/5		±
binary-trees	1/5	1/40	±
templates	1/4		±
reverse-complement †	1/2	?	±
regex-dna	1/2	?	±
k-nucleotide	±	?	±
fasta-redux	±	?	±
fannkuch-redux	±		±
spectral-norm	±	?	1/2
fasta †	±		2×
pystone †	2×	?	±
meteor-contest	2×		±
jsonbench	2×		±
thread-ring †	3×	?	±
richards †	3×	?	±
fib50	6×		±
n-body	8×		±

Nuitka used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/100	1/100	1/2	±	2×	5×	8×

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

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

 3 : Are the Nuitka 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 Nuitka 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
pidigits
Nuitka	0.03	0.03	?	379	0% 75% 0% 0% 0% 0% 0% 0%
PyPy	2.98	2.99	81,732	322	100% 0% 0% 0% 1% 0% 0% 0%
iobench
Nuitka	2.75	2.76	11,008	367	100% 0% 0% 0% 0% 0% 1% 0%
PyPy	14.73	14.73	80,864	370	0% 0% 100% 0% 0% 0% 1% 0%
binary-trees
Nuitka	1.06	0.22	2,304	741	70% 62% 59% 59% 59% 82% 59% 55%
PyPy	2.27	1.04	91,028	743	32% 67% 25% 28% 24% 28% 22% 24%
templates
Nuitka	0.63	0.63	19,200	322	3% 100% 0% 0% 2% 3% 2% 0%
PyPy	2.37	2.41	98,384	307	0% 6% 94% 0% 0% 0% 1% 0%
reverse-complement
Nuitka	0.03	0.03	?	458	0% 0% 0% 0% 0% 0% 100% 0% †
PyPy	0.06	0.06	?	432	0% 14% 0% 0% 0% 14% 14% 100% †
regex-dna
Nuitka	0.04	0.05	?	524	17% 0% 0% 0% 0% 100% 0% 0%
PyPy	0.10	0.11	?	501	100% 0% 0% 0% 0% 0% 0% 0%
k-nucleotide
Nuitka	0.08	0.06	?	801	14% 71% 14% 17% 0% 17% 17% 0%
PyPy	0.09	0.09	?	593	22% 18% 0% 100% 0% 0% 0% 0%
fasta-redux
Nuitka	0.19	0.19	?	1115	5% 0% 100% 0% 0% 0% 0% 0%
PyPy	0.19	0.19	?	1115	0% 0% 5% 100% 5% 5% 0% 0%
fannkuch-redux
Nuitka	4.48	0.62	102,152	894	92% 90% 98% 89% 92% 84% 92% 90%
PyPy	1.68	0.58	322,008	1009	41% 19% 66% 16% 43% 68% 66% 32%
spectral-norm
Nuitka	0.10	0.11	?	394	8% 0% 91% 0% 0% 0% 0% 0%
PyPy	0.09	0.09	?	594	0% 0% 0% 100% 18% 0% 0% 0%
fasta
Nuitka	5.59	2.59	72,224	2016	69% 14% 2% 63% 38% 7% 23% 5% †
PyPy	1.75	1.75	77,640	900	2% 2% 2% 2% 100% 3% 2% 1% †
pystone
Nuitka	0.15	0.15	?	2300	7% 6% 6% 0% 0% 100% 0% 0% †
PyPy	0.08	0.09	?	2301	100% 10% 0% 0% 0% 20% 0% 11% †
meteor-contest
Nuitka	1.35	1.35	11,392	1443	1% 0% 0% 0% 1% 100% 0% 0%
PyPy	0.67	0.67	80,972	1485	4% 0% 1% 99% 0% 4% 0% 0%
jsonbench
Nuitka	2.16	2.16	14,896	322	0% 0% 0% 100% 0% 0% 0% 0%
PyPy	0.90	0.90	80,556	322	0% 0% 100% 3% 1% 0% 1% 0%
thread-ring
Nuitka	0.35	0.35	1,152	406	17% 3% 3% 0% 100% 14% 16% 9% †
PyPy	0.11	0.11	?	407	0% 8% 92% 0% 9% 0% 0% 8% †
richards
Nuitka	0.58	0.58	11,264	2434	2% 2% 0% 0% 2% 2% 100% 0% †
PyPy	0.18	0.18	?	2423	18% 5% 100% 0% 0% 5% 5% 0% †
fib50
Nuitka	2.92	2.92	11,136	136	2% 1% 1% 1% 100% 0% 0% 0%
PyPy	0.48	0.48	77,576	130	4% 100% 0% 2% 2% 0% 2% 0%
n-body
Nuitka	27.09	27.10	11,136	1315	2% 1% 0% 0% 1% 0% 100% 0%
PyPy	3.29	3.29	74,856	1337	0% 100% 1% 0% 1% 1% 1% 1%
mandelbrot
Nuitka	36.89	4.88	300,640	3852	100% 95% 97% 94% 94% 95% 95% 95%
	No program
fibonacci
	No program
PyPy	0.17	0.17	?	181	6% 0% 0% 0% 0% 6% 11% 100%
chameneos-redux
Nuitka	188.65	274.40	15,268	1191	8% 5% 5% 5% 9% 8% 8% 9%
	No program
binary-trees-redux
	No programs

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

 4 : Are there other Nuitka programs for these benchmarks?

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

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 Nuitka programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Nuitka 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.

 Nuitka : Nuitka compiler 

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