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%
4.4	PyPy 2 #3	0.26	0.28	1,068	181	4% 93% 0% 0%
4.4	PyPy 2 #3	0.26	0.26	1,000	181	4% 0% 4% 100%
4.5	PyPy 2 #3	0.26	0.27	1,068	181	4% 0% 100% 0%
4.5	PyPy 3 #3	0.27	0.28	960	182	100% 0% 0% 4%
4.6	PyPy 3 #3	0.27	0.28	1,056	182	100% 0% 0% 4%
4.6	PyPy 3 #3	0.27	0.27	1,064	182	7% 100% 4% 0%
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 2 #3	0.67	0.67	7,240	181	1% 100% 3% 0%
11	Python development version #3	0.67	0.67	8,360	182	11% 12% 100% 6%
11	Python 2 #3	0.67	0.67	7,384	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	0.70	9,620	184	100% 1% 1% 0%
11	Cython #3	0.67	0.71	9,420	184	100% 24% 0% 0%
11	Cython #3	0.67	0.68	9,812	184	7% 4% 0% 99%
11	Python 3 #3	0.68	0.68	9,444	182	18% 6% 85% 0%
11	Python 3 #3	0.68	0.68	9,316	182	6% 0% 100% 0%
11	Python 3 #3	0.68	0.68	9,480	182	6% 0% 3% 97%
12	Nuitka #3	0.68	0.68	10,732	182	4% 100% 7% 0%
12	Nuitka #3	0.68	0.68	10,660	182	6% 82% 9% 19%
12	Nuitka #3	0.68	0.69	10,844	182	9% 3% 41% 100%
17	Python 2	0.97	0.98	24,096	136	1% 2% 100% 4%
17	Python 2	0.98	0.98	24,192	136	3% 100% 1% 4%
17	Cython	0.98	0.98	26,540	138	5% 100% 1% 0%
17	Python 2	0.98	1.03	24,012	136	2% 3% 10% 92%
17	Cython	0.98	0.99	26,632	138	10% 99% 0% 0%
17	Nuitka	0.99	1.04	27,668	137	100% 0% 0% 0%
17	Nuitka	0.99	1.04	27,636	137	100% 0% 0% 2%
17	Nuitka	0.99	1.04	27,612	137	100% 5% 2% 0%
17	Cython	1.01	1.11	27,056	138	5% 86% 4% 13%
17	Python 3	1.01	1.02	26,132	137	5% 100% 1% 0%
17	Python 3	1.01	1.06	26,284	137	100% 1% 0% 1%
17	Python 3	1.01	1.01	26,248	137	6% 8% 0% 92%
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%
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%
111	PyPy 2 #2	6.55	6.59	85,084	110	6% 84% 1% 16%
111	PyPy 3 #2	6.56	6.86	78,256	110	86% 0% 15% 0%
111	PyPy 2 #2	6.58	6.61	85,088	110	5% 43% 0% 57%
111	PyPy 3 #2	6.58	6.61	78,408	110	5% 100% 1% 0%
112	PyPy 2 #2	6.63	6.66	85,884	110	6% 1% 100% 1%
112	PyPy 3 #2	6.64	6.74	78,504	110	28% 1% 74% 2%
160	Python 2 #2	9.46	9.47	38,896	110	2% 2% 3% 100%
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 3 #2	9.48	9.49	9,344	110	5% 62% 0% 38%
161	Python 2 #2	9.50	9.51	38,904	110	2% 100% 2% 2%
161	Python 2 #2	9.53	9.54	38,952	110	37% 21% 49% 3%
162	Python 3 #2	9.55	9.56	9,288	110	5% 1% 100% 0%
162	Python 3 #2	9.57	9.58	9,264	110	5% 0% 100% 0%
163	Nuitka #2	9.59	10.04	10,616	110	100% 1% 0% 0%
163	Python development version #2	9.59	9.61	8,060	110	5% 1% 100% 1%
164	Nuitka #2	9.66	9.91	10,520	110	58% 50% 3% 0%
164	Nuitka #2	9.70	9.83	10,724	110	31% 1% 73% 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%
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%
1,255	Graal #2	74.03	67.55	524,808	110	90% 20% 9% 5%
1,274	Graal #2	75.18	67.11	527,916	110	45% 22% 38% 18%
1,287	Graal #2	75.91	65.41	527,676	110	18% 15% 83% 14%
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

Home Conclusions License Play

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 ]]