fibonacci benchmark | Python Interpreters Benchmarks Game

fibonacci benchmark N=1,000,000

Each chart bar shows how many times slower, one ↓ fibonacci program was, compared to the fastest program.

These are not the only programs that could be written. These are not the only compilers and interpreters. These are not the only programming languages.

Column × shows how many times more each program used compared to the benchmark program that used least.

×	Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
			sort	sort	sort
1.0	Pyston #3	0.06	0.06	?	181	0% 0% 0% 100%
1.0	Pyston #3	0.06	0.06	?	181	0% 0% 0% 100%
1.0	Pyston #3	0.06	0.06	?	181	14% 0% 0% 100%
4.3	PyPy 2 #3	0.26	0.28	1,168	181	41% 70% 7% 0%
4.4	PyPy 2 #3	0.26	0.26	1,120	181	4% 4% 96% 11%
4.5	PyPy 2 #3	0.26	0.27	1,100	181	4% 7% 100% 4%
4.5	PyPy 3 #3	0.26	0.27	1,140	182	0% 4% 100% 4%
4.5	PyPy 3 #3	0.27	0.27	1,140	182	0% 11% 100% 4%
4.6	PyPy 3 #3	0.27	0.27	1,020	182	0% 4% 0% 100%
7.3	Pyston	0.43	0.43	55,100	136	100% 0% 0% 0%
7.3	Pyston	0.43	0.43	55,228	136	100% 0% 2% 0%
7.3	Pyston	0.43	0.44	57,344	136	91% 11% 0% 0%
11	Python development version #3	0.66	0.67	8,256	182	14% 8% 11% 100%
11	Python development version #3	0.67	0.67	8,396	182	13% 10% 100% 10%
11	Python development version #3	0.67	0.67	8,360	182	11% 12% 100% 6%
11	Python 2 #3	0.67	0.67	7,240	181	1% 100% 3% 0%
11	Python 2 #3	0.67	0.67	7,384	181	12% 2% 6% 100%
11	Python 2 #3	0.67	0.67	7,284	181	99% 2% 3% 6%
11	Cython #3	0.67	0.68	9,252	184	11% 100% 7% 12%
11	Cython #3	0.67	0.68	9,024	184	100% 8% 13% 4%
11	Cython #3	0.67	0.68	9,376	184	3% 7% 100% 9%
11	Python 3 #3	0.67	0.68	9,180	182	3% 4% 3% 100%
11	Python 3 #3	0.67	0.68	9,236	182	100% 6% 3% 3%
11	Python 3 #3	0.67	0.68	9,136	182	100% 9% 3% 3%
11	Nuitka #3	0.68	0.68	10,300	182	0% 100% 1% 0%
11	Nuitka #3	0.68	0.68	10,468	182	0% 100% 1% 1%
12	Nuitka #3	0.68	0.68	10,344	182	1% 3% 4% 100%
16	Nuitka	0.97	0.98	27,648	137	2% 51% 1% 51%
17	Python 2	0.97	0.98	24,096	136	1% 2% 100% 4%
17	Cython	0.98	0.98	26,384	138	2% 0% 100% 0%
17	Python 2	0.98	0.98	24,192	136	3% 100% 1% 4%
17	Cython	0.98	0.98	26,572	138	1% 1% 99% 1%
17	Python 2	0.98	1.03	24,012	136	2% 3% 10% 92%
17	Nuitka	0.98	0.99	27,740	137	4% 100% 2% 3%
17	Nuitka	0.99	1.08	27,564	137	2% 3% 93% 5%
17	Python 3	1.02	1.02	29,272	137	100% 5% 0% 5%
17	Python 3	1.02	1.06	29,320	137	0% 99% 1% 2%
18	Python 3	1.03	1.16	29,896	137	4% 97% 1% 1%
18	RustPython #3	1.04	1.10	20,072	182	100% 13% 15% 16%
18	RustPython #3	1.06	1.07	20,188	182	28% 47% 72% 21%
18	RustPython #3	1.06	1.11	20,132	182	100% 20% 19% 20%
18	Cython	1.06	1.17	26,532	138	85% 7% 5% 9%
20	Numba	1.20	1.20	75,208	160	99% 0% 0% 0%
20	Numba	1.20	1.20	75,420	160	99% 1% 1% 0%
20	Numba	1.20	1.20	74,964	160	0% 1% 0% 100%
57	Pyston #2	3.37	3.37	59,552	110	0% 82% 0% 18%
57	Pyston #2	3.37	3.37	59,376	110	0% 0% 100% 0%
57	Pyston #2	3.39	3.39	59,460	110	0% 62% 0% 38%
75	Jython #3	4.42	1.78	246,336	181	79% 62% 61% 47%
77	Jython #3	4.57	1.80	255,888	181	73% 69% 61% 51%
81	Jython #3	4.77	1.90	272,324	181	73% 84% 58% 36%
99	IronPython #3	5.86	5.86	53,032	181	100% 0% 0% 0%
99	IronPython #3	5.86	5.86	50,872	181	0% 0% 100% 0%
99	IronPython #3	5.86	5.87	55,276	181	0% 100% 0% 0%
114	PyPy 2 #2	6.73	6.78	85,772	110	63% 49% 46% 58%
116	PyPy 2 #2	6.85	6.97	85,948	110	27% 34% 33% 80%
117	PyPy 3 #2	6.87	6.91	78,352	110	100% 6% 1% 1%
118	PyPy 3 #2	6.96	7.00	78,568	110	99% 6% 2% 3%
119	PyPy 3 #2	7.02	7.05	78,240	110	2% 6% 1% 100%
120	PyPy 2 #2	7.10	7.15	85,760	110	53% 15% 64% 100%
160	Python 3 #2	9.42	9.43	9,176	110	70% 6% 30% 1%
160	Python 3 #2	9.45	9.47	9,148	110	90% 6% 12% 1%
160	Python 2 #2	9.46	9.47	38,896	110	2% 2% 3% 100%
160	Python 3 #2	9.46	9.48	9,124	110	69% 6% 32% 2%
160	Python development version #2	9.47	9.48	8,136	110	6% 1% 1% 100%
161	Python development version #2	9.48	9.49	8,068	110	6% 1% 1% 100%
161	Python 2 #2	9.50	9.51	38,904	110	2% 100% 2% 2%
161	Nuitka #2	9.53	9.54	10,448	110	21% 1% 80% 1%
161	Python 2 #2	9.53	9.54	38,952	110	37% 21% 49% 3%
162	Nuitka #2	9.55	9.56	10,244	110	65% 1% 35% 1%
162	Nuitka #2	9.57	9.58	10,248	110	89% 1% 12% 2%
163	Python development version #2	9.59	9.61	8,060	110	5% 1% 100% 1%
280	RustPython #2	16.53	16.70	20,296	110	23% 38% 15% 44%
283	RustPython #2	16.72	17.25	20,236	110	60% 30% 9% 29%
315	RustPython #2	18.59	19.62	20,384	110	70% 57% 59% 90%
321	Jython #2	18.94	15.34	323,352	110	20% 37% 28% 38%
323	Jython #2	19.06	15.35	317,228	110	26% 37% 24% 38%
383	Jython #2	22.59	18.13	356,048	110	21% 35% 31% 37%
635	Graal #2	37.44	37.92	405,264	110	31% 57% 7% 14%
640	Graal #2	37.78	38.23	405,020	110	29% 3% 76% 2%
641	Graal #2	37.79	38.00	405,012	110	15% 2% 90% 3%
653	Grumpy #2	38.55	15.39	498,660	110	65% 71% 65% 64%
658	Grumpy #2	38.81	15.90	550,940	110	71% 69% 67% 68%
669	Grumpy #2	39.46	15.78	519,192	110	65% 71% 63% 66%
1,311	IronPython #2	77.37	60.52	105,408	110	38% 65% 0% 24%
1,312	IronPython #2	77.43	60.55	109,804	110	26% 41% 44% 16%
1,321	IronPython #2	77.94	60.55	106,696	110	70% 37% 14% 7%
1,390	MicroPython #3	82.02	84.11	3,180	182	18% 60% 23% 7%
1,390	MicroPython #3	82.02	82.38	3,160	182	51% 13% 46% 3%
1,391	MicroPython #3	82.05	82.60	3,128	182	48% 13% 48% 2%
1,805	MicroPython #2	106.52	111.08	4,184	110	2% 96% 2% 7%
1,823	MicroPython #2	107.54	110.57	4,252	110	18% 63% 32% 7%
1,838	MicroPython #2	108.42	113.30	4,216	110	56% 65% 58% 41%
missing benchmark programs
	Shedskin	No program

fibonacci benchmark : Calculate Fibonacci sequence

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x64 ArchLinux : Intel® i5-7200U® Python Interpreters Benchmarks [[ Play ]]

fibonacci benchmark N=1,000,000

fibonacci benchmark : Calculate Fibonacci sequence

x64 ArchLinux : Intel® i5-7200U®
Python Interpreters Benchmarks [[ Play ]]