mandelbrot benchmark N=16,000

Each chart bar shows how many times slower, one ↓ mandelbrot 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.

     sortsortsort
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0C gcc #9 19.775.1332,240694  95% 96% 100% 96%
1.2C gcc 23.465.8827,932822  100% 100% 100% 100%
1.2C gcc #4 24.076.0530,392799  100% 100% 100% 100%
1.2Ada 2005 GNAT #3 24.146.0932,0041805  99% 99% 100% 99%
1.2C gcc #6 24.216.0729,396879  100% 100% 100% 100%
1.2C gcc #3 24.236.0832,516763  100% 100% 100% 100%
1.2C gcc #7 24.246.0932,888994  100% 100% 100% 100%
1.2Java  #2 24.246.2788,992796  96% 97% 97% 98%
1.2Rust #2 24.326.1555,6161080  99% 99% 99% 100%
1.2C++ g++ #7 24.406.1337,8921017  100% 100% 100% 100%
1.3Go #3 25.506.4131,748894  100% 100% 99% 100%
1.4Java  #6 27.967.1688,976802  97% 97% 99% 97%
1.4Scala #4 27.977.2093,120786  97% 100% 97% 96%
1.4C++ g++ #6 28.087.0532,9041035  100% 100% 100% 100%
1.4Lisp SBCL 28.537.9055,6722459  82% 100% 98% 83%
1.6C# Mono #4 31.578.1084,908872  99% 98% 97% 97%
1.6C# Mono #6 31.598.1183,236986  100% 97% 97% 97%
1.6Clojure #7 32.178.95154,3401195  89% 89% 87% 97%
1.7C++ g++ #9 33.018.5833,620726  95% 95% 100% 95%
1.7C++ g++ #8 33.0712.2333,648742  99% 36% 37% 100%
1.8F# Mono #4 34.989.1385,608869  96% 96% 97% 95%
1.8C++ g++ #5 36.1236.1333,384590  1% 100% 0% 0%
2.0C++ g++ #2 38.6538.6633,728687  0% 0% 100% 1%
2.1Go #2 41.5110.4135,380837  100% 100% 100% 100%
2.2Java  43.0543.0139,336665  2% 99% 0% 1%
2.2Scala #5 43.6815.8889,196589  87% 71% 67% 51%
2.3F# Mono #3 44.5311.3682,136800  98% 100% 98% 98%
2.3C# Mono #3 45.2011.5180,820701  99% 98% 98% 98%
2.3Java  #3 45.5011.5389,208903  100% 99% 98% 98%
2.3Haskell GHC #2 45.8111.4941,208782  100% 100% 100% 100%
2.3C# Mono 46.0711.7380,932798  98% 98% 100% 98%
2.4Lisp SBCL #3 46.5718.1846,084888  92% 40% 93% 32%
2.4Go #6 47.1911.8231,116700  100% 100% 100% 100%
2.4C gcc #2 47.3447.35800400  1% 0% 100% 1%
2.4F# Mono #2 48.3113.2649,0121043  86% 95% 92% 92%
2.5Fortran Intel #4 49.0818.7861,076611  94% 41% 93% 34%
2.6Scala 51.1812.9766,852724  98% 98% 99% 100%
2.6Scala #2 51.9051.8345,592454  0% 1% 100% 0%
2.6Go 51.9713.0431,272823  100% 100% 100% 100%
2.6Clojure #5 52.2550.69113,4641069  37% 32% 2% 34%
2.7Ada 2005 GNAT #2 53.1153.131,928572  0% 1% 100% 1%
2.8Clojure #6 54.8315.00124,8321069  93% 91% 92% 90%
2.8OCaml 54.8913.785,492710  100% 100% 100% 100%
2.8OCaml #6 54.9855.00960444  1% 0% 100% 1%
2.8C# Mono #2 56.2456.2640,000484  100% 1% 1% 1%
2.9Fortran Intel #5 56.8656.8832,580508  1% 1% 0% 100%
2.9Dart 56.8821.0095,528901  98% 37% 99% 37%
3.4Pascal Free Pascal #4 68.1417.0731,160748  100% 100% 100% 100%
3.7Racket #4 73.7018.6569,588796  99% 99% 100% 99%
3.8Racket #3 75.3675.3431,120797  0% 1% 40% 60%
3.8Pascal Free Pascal #3 75.4475.478530  0% 1% 100% 0%
3.9Hack #2 76.3076.33116,468458  1% 0% 0% 100%
4.1Pascal Free Pascal 80.5930.3432,456820  91% 40% 95% 41%
4.2C++ g++ #3 83.3483.361,504414  100% 0% 1% 0%
4.3Racket #2 85.6085.5920,696585  0% 29% 0% 72%
5.4Racket 107.53107.5221,832517  1% 0% 100% 0%
6.8Pascal Free Pascal #5 134.9633.8230,044829  100% 100% 100% 100%
13Hack 248.28248.36114,668441  10% 1% 32% 59%
29Erlang HiPE #2 9 min149.611,125,164613  96% 95% 97% 95%
30Erlang HiPE 9 min159.161,735,152534  94% 92% 94% 93%
48Python 3 #7 15 min239.6042,456686  100% 100% 100% 100%
56Ruby JRuby #3 18 min18 min660,288307  21% 30% 33% 19%
62PHP #3 20 min5 min115,240863  100% 100% 100% 100%
62PHP 20 min20 min4,268443  23% 18% 35% 27%
88Python 3 #2 28 min7 min10,488777  100% 99% 99% 99%
96Ruby #3 31 min31 min7,104307  20% 25% 44% 13%
97Ruby #4 31 min31 min69,156866  21% 29% 31% 20%
100Ruby #5 32 min8 min62,6361019  100% 100% 100% 100%
101Erlang 33 min8 min1,605,524534  98% 98% 98% 98%
102Erlang #2 33 min8 min1,082,140613  99% 99% 99% 99%
102Ruby #2 33 min8 min135,564925  99% 99% 100% 99%
104Python 3 #5 34 min8 min40,268449  100% 100% 100% 100%
112Ruby #6 37 min9 min300,384909  95% 95% 95% 95%
155Perl 51 min12 min43,400579  100% 100% 100% 100%
167Ruby JRuby #4 55 min14 min762,944866  98% 98% 98% 98%
191Ruby JRuby #5 1h 02 min16 min1,597,2281019  98% 98% 98% 98%
345Ruby JRuby #2 1h 53 min29 min758,280925  99% 99% 98% 99%
Fortran Intel #2 Bad Output813
Fortran Intel #3 Bad Output754
Fortran Intel Bad Output485
Hack #3 Failed864
Pascal Free Pascal #2 Make Error817
Ruby JRuby #6 Failed909
Scala #3 Failed796
"wrong" (different) algorithm / less comparable programs
0.4C gcc #5 7.341.8517,0201026
0.5C++ g++ 10.522.6429,4641239
0.9C gcc #8 16.934.2432,496859
6.1Python 3 #6 119.8130.7854,1521380

 mandelbrot benchmark : Generate Mandelbrot set portable bitmap file

You can write your own program for this task and contribute to the benchmarks game by following these general instructions.

More specifically:

cmp program output N = 200 with this 5KB output file to check your program is correct before contributing.

We are trying to show the performance of various programming language implementations - so we ask that contributed programs not only give the correct result, but also use the same algorithm to calculate that result.

Mandlebrot output N=200,converted to PNG

Each program should plot the Mandelbrot set [-1.5-i,0.5+i] on an N-by-N bitmap. Write output byte-by-byte in portable bitmap format.

For more information see Eric W. Weisstein, "Mandelbrot Set." From MathWorld--A Wolfram Web Resource.
http://mathworld.wolfram.com/MandelbrotSet.html

Thanks to Greg Buchholz for this benchmark.

Revised BSD license

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