mandelbrot benchmark N=16,000

Each chart bar shows how many times more Code, one ↓ mandelbrot program used, compared to the program that used least Code.

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
1.0Ruby #3 31 min31 min7,104307  20% 25% 44% 13%
1.0Ruby JRuby #3 18 min18 min660,288307  21% 30% 33% 19%
1.3C gcc #2 47.3447.35800400  1% 0% 100% 1%
1.3C++ g++ #3 83.3483.361,504414  100% 0% 1% 0%
1.4Hack 248.08248.20119,512441  24% 27% 23% 28%
1.4PHP 20 min20 min4,268443  23% 18% 35% 27%
1.4OCaml #6 54.9855.00960444  1% 0% 100% 1%
1.5Python 3 #5 34 min8 min40,268449  100% 100% 100% 100%
1.5Scala #2 51.9051.8345,592454  0% 1% 100% 0%
1.5Hack #2 80.8480.86119,900458  100% 1% 0% 1%
1.6C# Mono #2 56.2456.2640,000484  100% 1% 1% 1%
1.7Fortran Intel #5 56.8656.8832,580508  1% 1% 0% 100%
1.7Racket 107.53107.5221,832517  1% 0% 100% 0%
1.7Pascal Free Pascal #3 75.4475.478530  0% 1% 100% 0%
1.7Erlang 32 min8 min1,643,216534  98% 98% 98% 98%
1.7Erlang HiPE 8 min142.801,714,956534  92% 92% 94% 92%
1.9Ada 2005 GNAT #2 53.1153.131,928572  0% 1% 100% 1%
1.9Perl 51 min12 min43,400579  100% 100% 100% 100%
1.9Racket #2 85.6085.5920,696585  0% 29% 0% 72%
1.9Scala #5 43.6815.8889,196589  87% 71% 67% 51%
1.9C++ g++ #5 36.1236.1333,384590  1% 100% 0% 0%
2.0Fortran Intel #4 49.0818.7861,076611  94% 41% 93% 34%
2.0Erlang HiPE #2 8 min131.961,370,444613  95% 95% 96% 95%
2.0Erlang #2 31 min8 min1,312,428613  99% 99% 99% 99%
2.2Java  43.0543.0139,336665  2% 99% 0% 1%
2.2Python 3 #7 15 min239.6042,456686  100% 100% 100% 100%
2.2C++ g++ #2 38.6538.6633,728687  0% 0% 100% 1%
2.3C gcc #9 19.775.1332,240694  95% 96% 100% 96%
2.3Go #6 47.1911.8231,116700  100% 100% 100% 100%
2.3C# Mono #3 45.2011.5180,820701  99% 98% 98% 98%
2.3OCaml 54.8913.785,492710  100% 100% 100% 100%
2.4Scala 51.1812.9766,852724  98% 98% 99% 100%
2.4C++ g++ #9 33.018.5833,620726  95% 95% 100% 95%
2.4C++ g++ #8 33.0712.2333,648742  99% 36% 37% 100%
2.4Pascal Free Pascal #4 68.1417.0731,160748  100% 100% 100% 100%
2.5C gcc #3 24.236.0832,516763  100% 100% 100% 100%
2.5Python 3 #2 28 min7 min10,488777  100% 99% 99% 99%
2.5Haskell GHC #2 45.8111.4941,208782  100% 100% 100% 100%
2.6Scala #4 27.977.2093,120786  97% 100% 97% 96%
2.6Racket #4 73.7018.6569,588796  99% 99% 100% 99%
2.6Java  #2 24.246.2788,992796  96% 97% 97% 98%
2.6Racket #3 75.3675.3431,120797  0% 1% 40% 60%
2.6C# Mono 46.0711.7380,932798  98% 98% 100% 98%
2.6C gcc #4 24.076.0530,392799  100% 100% 100% 100%
2.6F# Mono #3 44.5311.3682,136800  98% 100% 98% 98%
2.6Java  #6 27.967.1688,976802  97% 97% 99% 97%
2.7Pascal Free Pascal 80.5930.3432,456820  91% 40% 95% 41%
2.7C gcc 23.465.8827,932822  100% 100% 100% 100%
2.7Go 51.9713.0431,272823  100% 100% 100% 100%
2.7Pascal Free Pascal #5 134.9633.8230,044829  100% 100% 100% 100%
2.7Go #2 41.5110.4135,380837  100% 100% 100% 100%
2.8PHP #3 20 min5 min115,240863  100% 100% 100% 100%
2.8Ruby JRuby #4 55 min14 min762,944866  98% 98% 98% 98%
2.8Ruby #4 31 min31 min69,156866  21% 29% 31% 20%
2.8F# Mono #4 34.989.1385,608869  96% 96% 97% 95%
2.8C# Mono #4 31.578.1084,908872  99% 98% 97% 97%
2.9C gcc #6 24.216.0729,396879  100% 100% 100% 100%
2.9Lisp SBCL #3 46.5718.1846,084888  92% 40% 93% 32%
2.9Go #3 25.506.4131,748894  100% 100% 99% 100%
2.9Dart 56.8821.0095,528901  98% 37% 99% 37%
2.9Java  #3 45.5011.5389,208903  100% 99% 98% 98%
3.0Ruby #6 37 min9 min300,384909  95% 95% 95% 95%
3.0Ruby JRuby #2 1h 53 min29 min758,280925  99% 99% 98% 99%
3.0Ruby #2 33 min8 min135,564925  99% 99% 100% 99%
3.2C# Mono #6 31.598.1183,236986  100% 97% 97% 97%
3.2C gcc #7 24.246.0932,888994  100% 100% 100% 100%
3.3C++ g++ #7 24.406.1337,8921017  100% 100% 100% 100%
3.3Ruby #5 32 min8 min62,6361019  100% 100% 100% 100%
3.3Ruby JRuby #5 1h 02 min16 min1,597,2281019  98% 98% 98% 98%
3.4C++ g++ #6 28.087.0532,9041035  100% 100% 100% 100%
3.4F# Mono #2 48.3113.2649,0121043  86% 95% 92% 92%
3.5Clojure #5 51.5350.13115,3601077  49% 5% 47% 3%
3.5Clojure #6 52.6614.36132,0881077  90% 91% 91% 95%
3.5Rust #2 24.326.1555,6161080  99% 99% 99% 100%
3.9Clojure #7 32.409.02152,9761195  89% 86% 97% 88%
5.9Ada 2005 GNAT #3 24.146.0932,0041805  99% 99% 100% 99%
8.0Lisp SBCL 28.537.9055,6722459  82% 100% 98% 83%
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
2.8C gcc #8 16.934.2432,496859
3.3C gcc #5 7.341.8517,0201026
4.0C++ g++ 10.522.6429,4641239
4.5Python 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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