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 JRuby #3 18 min18 min660,288307  21% 30% 33% 19%
1.0Ruby #3 30 min30 min7,716307  16% 37% 9% 39%
1.3C gcc #2 47.2347.25396400  0% 1% 0% 100%
1.3C++ g++ #3 74.5774.601,072414  1% 0% 0% 100%
1.4Hack 149.21149.26111,292441  1% 0% 100% 0%
1.4PHP 21 min21 min4,256443  28% 17% 33% 24%
1.4OCaml #6 56.3456.363,128444  93% 0% 0% 7%
1.5Python 3 #5 33 min8 min40,728449  100% 100% 100% 100%
1.5Scala #2 51.9451.8628,656454  1% 99% 0% 2%
1.5Hack #2 84.4984.51111,348458  50% 0% 51% 1%
1.6C# Mono #2 54.9654.9821,816484  1% 0% 100% 0%
1.7Fortran Intel #5 56.7856.8032,732508  0% 0% 100% 0%
1.7Racket 102.45102.5917,788517  1% 83% 18% 1%
1.7Pascal Free Pascal #3 75.4475.478530  0% 1% 100% 0%
1.7Erlang 33 min8 min1,605,524534  98% 98% 98% 98%
1.7Erlang HiPE 9 min159.161,735,152534  94% 92% 94% 93%
1.9Ada 2005 GNAT #2 57.2657.281,232572  1% 1% 100% 0%
1.9Perl 55 min13 min41,196579  100% 100% 100% 100%
1.9Racket #2 88.0488.0320,252585  0% 1% 100% 0%
1.9Scala #5 43.6415.8888,140589  62% 82% 63% 69%
1.9C++ g++ #5 37.6837.7032,256590  1% 0% 0% 100%
2.0Fortran Intel #4 48.4318.4157,492611  96% 34% 95% 41%
2.2Java  42.9342.9035,440665  78% 1% 23% 0%
2.2C++ g++ #2 39.5539.5632,328687  99% 1% 1% 1%
2.3C gcc #9 19.445.0231,928694  96% 96% 100% 96%
2.3Go #6 47.1911.8231,116700  100% 100% 100% 100%
2.3C# Mono #3 44.9411.3958,292701  98% 99% 99% 99%
2.3OCaml 55.8814.046,548710  100% 100% 100% 100%
2.4Scala 49.8512.6761,240724  100% 99% 99% 99%
2.4C++ g++ #9 33.088.6032,384726  95% 95% 95% 100%
2.4C++ g++ #8 33.3912.3232,388742  36% 36% 100% 100%
2.4Pascal Free Pascal #4 68.1417.0731,160748  100% 100% 100% 100%
2.5C gcc #3 24.086.0531,644763  100% 100% 100% 100%
2.5Python 3 #2 29 min7 min10,556777  90% 100% 90% 90%
2.5Haskell GHC #2 45.8111.4937,116782  100% 100% 100% 100%
2.6Scala #4 27.967.1789,680786  97% 97% 100% 97%
2.6Racket #4 71.6118.1160,436796  99% 99% 100% 99%
2.6Java  #2 28.057.1786,152796  98% 97% 98% 99%
2.6Racket #3 73.8573.8121,040797  5% 1% 95% 0%
2.6C# Mono 45.8311.6156,416798  98% 99% 99% 99%
2.6C gcc #4 24.176.0729,104799  100% 100% 100% 100%
2.6F# Mono #3 44.4611.3057,408800  98% 99% 98% 99%
2.6Java  #6 31.758.0887,668802  98% 98% 98% 99%
2.7Pascal Free Pascal 80.5930.3432,456820  91% 40% 95% 41%
2.7C gcc 24.666.1829,568822  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 21 min5 min115,808863  100% 100% 100% 100%
2.8Ruby #4 31 min31 min61,016866  32% 18% 17% 34%
2.8Ruby JRuby #4 55 min14 min762,944866  98% 98% 98% 98%
2.8F# Mono #4 34.118.8564,884869  96% 96% 96% 98%
2.8C# Mono #4 31.588.0557,116872  98% 98% 99% 98%
2.9C gcc #6 24.656.1829,064879  100% 100% 100% 100%
2.9Lisp SBCL #3 46.6518.2447,220888  92% 92% 32% 40%
2.9Go #3 25.506.4131,748894  100% 100% 99% 100%
2.9Dart 56.9820.9778,120901  97% 39% 99% 38%
2.9Java  #3 43.0410.9484,056903  98% 99% 99% 98%
3.0Ruby #6 39 min10 min303,748909  96% 96% 96% 96%
3.0Ruby #2 37 min9 min162,332925  100% 100% 100% 100%
3.0Ruby JRuby #2 1h 53 min29 min758,280925  99% 99% 98% 99%
3.2C# Mono #6 31.488.0357,260986  99% 98% 98% 98%
3.2C gcc #7 24.246.0931,932994  100% 100% 100% 100%
3.3C++ g++ #7 23.775.9732,3881017  100% 100% 100% 100%
3.3Ruby #5 31 min7 min65,1761019  100% 100% 100% 100%
3.3Ruby JRuby #5 1h 02 min16 min1,597,2281019  98% 98% 98% 98%
3.4C++ g++ #6 28.667.1931,9361035  100% 100% 100% 100%
3.4F# Mono #2 47.7812.9726,7281043  90% 92% 94% 94%
3.5Clojure #6 54.8315.00124,8321069  93% 91% 92% 90%
3.5Clojure #5 52.2550.69113,4641069  37% 32% 2% 34%
3.9Clojure #7 32.178.95154,3401195  89% 89% 87% 97%
4.2Rust 20.145.0956,8241290  98% 99% 100% 99%
5.9Ada 2005 GNAT #3 22.755.7532,1041805  99% 99% 99% 99%
8.0Lisp SBCL 28.537.8359,8402459  100% 84% 99% 83%
Fortran Intel #2 Bad Output813
Fortran Intel #3 Bad Output754
Fortran Intel Bad Output485
Hack #3 Failed864
Pascal Free Pascal #2 Make Error817
Python 3 #3 Failed304
Ruby JRuby #6 Failed909
Scala #3 Failed796
"wrong" (different) algorithm / less comparable programs
2.8C gcc #8 16.014.0231,924859
3.3C gcc #5 7.321.8516,0801026
4.0C++ g++ 10.742.7027,2881239
4.5Python 3 #6 120.6630.9952,1241380

 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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