C++ g++ versus Python 3 fastest programs

Always look at the source code.

These are only the fastest programs. Do some of them use manually vectorized SIMD? Look at the other programs. They may seem more-like a fair comparison to you.

mandelbrot
source	secs	mem	gz	busy	cpu load
C++ g++	0.84	34,604	3542	3.28	98% 99% 98% 95%
Python 3	163.32	12,080	688	642.00	98% 98% 98% 98%
spectral-norm
source	secs	mem	gz	busy	cpu load
C++ g++	0.72	1,216	1044	2.86	100% 100% 99% 100%
Python 3	120.99	13,424	407	479.86	99% 99% 99% 99%
n-body
source	secs	mem	gz	busy	cpu load
C++ g++	4.09	1,740	1808	4.26	100% 0% 3% 0%
Python 3	567.56	8,076	1196	570.95	0% 0% 0% 100%
fannkuch-redux
source	secs	mem	gz	busy	cpu load
C++ g++	3.30	1,848	1528	13.06	97% 100% 100% 99%
Python 3	352.29	12,232	950	1,392.10	97% 99% 100% 99%
binary-trees
source	secs	mem	gz	busy	cpu load
C++ g++	1.04	154,824	1122	3.74	88% 100% 88% 86%
Python 3	51.07	278,324	589	178.28	85% 86% 93% 85%
fasta
source	secs	mem	gz	busy	cpu load
C++ g++	0.78	2,468	2751	1.62	8% 99% 99% 3%
Python 3	37.32	846,264	1947	71.03	10% 67% 83% 30%
k-nucleotide
source	secs	mem	gz	busy	cpu load
C++ g++	1.95	156,372	1631	5.95	73% 70% 92% 70%
Python 3	46.28	241,108	1967	176.42	94% 97% 95% 96%
reverse-complement
source	secs	mem	gz	busy	cpu load
C++ g++	0.54	1,752	1853	0.56	0% 100% 4% 0%
Python 3	7.20	1,005,184	814	10.75	20% 53% 48% 29%
pidigits
source	secs	mem	gz	busy	cpu load
C++ g++	0.60	4,944	986	2.38	100% 100% 98% 100%
Python 3	1.28	12,024	567	1.29	0% 1% 100% 0%
regex-redux
source	secs	mem	gz	busy	cpu load
C++ g++	1.08	203,816	1315	3.38	78% 99% 65% 73%
Python 3	1.36	111,852	1403	2.64	32% 40% 33% 88%
C++ g++	g++ (Ubuntu 10.2.0-13ubuntu1) 10.2.0
Python 3	Python 3.9.2