/mobile Handheld Friendly website

 regex-dna benchmark ≈50MB N=5,000,000

Each chart bar shows how many times slower, one ↓ regex-dna 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.

    sort sortsort
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
1.0JavaScript V8 #2 3.853.86406,048373  1% 1% 0% 100%
1.5C gcc 5.765.77288,8322579  1% 1% 1% 100%
1.5C++ g++ #2 5.905.92174,664695  1% 1% 1% 100%
1.5C++ g++ 5.935.94172,744648  0% 1% 0% 100%
3.6C++ g++ #4 14.0214.0391,4961759  2% 1% 1% 100%
5.0Ada 2005 GNAT #5 19.2619.2998,2203492  0% 1% 1% 100%
5.1C gcc #4 19.5519.5679,3801525  0% 1% 0% 100%
5.1Ada 2005 GNAT #6 19.6319.66102,3123740  0% 0% 0% 100%
5.1Lua #3 19.6919.71224,592669  0% 0% 0% 100%
5.8Java  #7 22.2722.28558,3201284  1% 1% 0% 100%
6.2Python 3 #5 23.9223.94247,788424  0% 1% 1% 100%
6.3Python 3 24.0424.16236,128478  0% 1% 1% 100%
6.5Java  #4 25.0825.10734,540921  1% 1% 0% 100%
6.6C gcc #2 25.6025.61124,6921099  0% 1% 1% 100%
6.7Java  #5 25.8725.89729,500929  1% 1% 0% 100%
6.9PHP #3 26.5026.52219,260459  1% 0% 0% 100%
6.9PHP 12.1126.62220,732788  0% 0% 0% 100%
6.9PHP #4 26.6826.70150,660832  0% 0% 0% 100%
7.3Ruby #6 28.1428.15162,792442  0% 1% 1% 100%
7.3Haskell GHC #2 28.1828.19241,3721518  0% 0% 1% 100%
7.8Lua #2 30.2330.25350,336596  0% 0% 0% 100%
8.0Perl #2 30.8830.92140,068527  0% 0% 0% 100%
8.0C++ g++ #3 31.0331.05174,352844  0% 1% 1% 100%
8.9Java  #2 34.5134.53705,8641534  1% 0% 0% 100%
9.0PHP #2 34.5834.60221,252449  0% 0% 0% 100%
9.0Scala #2 34.8434.86864,848668  0% 1% 0% 100%
9.3Ruby #5 35.9435.96103,552343  0% 1% 1% 100%
9.4Scala 36.1836.22847,908611  0% 1% 0% 100%
10Racket 39.8839.91642,384527  0% 0% 1% 100%
11Ruby #2 42.5142.53349,000417  0% 1% 0% 100%
11Ruby #3 43.0243.06271,304501  1% 1% 1% 100%
11Lisp SBCL #3 43.0343.06933,4841948  0% 1% 1% 100%
11Clojure #4 43.7243.75612,192707  1% 1% 0% 100%
11Lua 43.9043.94494,992437  0% 0% 0% 100%
13Ruby JRuby #5 49.1649.201,003,532343  0% 1% 1% 100%
15Ruby 57.4557.48301,984308  1% 1% 1% 100%
15Ruby JRuby #3 59.0659.112,030,980501  0% 1% 1% 100%
15Ruby JRuby #2 59.2659.312,100,456417  0% 1% 1% 100%
16Ruby JRuby #6 59.8259.86932,816442  0% 0% 0% 100%
17Clojure #3 65.3265.37555,908710  1% 1% 0% 100%
19Go #8 72.5272.55743,484785  0% 1% 0% 100%
19Go #7 72.5672.59523,592652  0% 0% 0% 100%
19F# Mono 72.8272.861,006,272639  0% 1% 1% 100%
19Perl #4 73.3473.37188,720440  0% 0% 0% 100%
20F# Mono #3 75.9776.012,346,952870  0% 0% 0% 100%
20C# Mono #2 76.1876.21276,712594  0% 0% 1% 100%
20C# Mono #6 76.6376.67260,496638  0% 0% 1% 100%
21F# Mono #2 79.4179.461,573,940413  0% 1% 2% 100%
21C# Mono 81.7681.821,029,440624  0% 0% 1% 100%
26Ruby JRuby 101.11101.181,922,596308  1% 0% 0% 100%
30Erlang HiPE #6 114.18114.22145,4761058  0% 0% 0% 100%
35Go 135.10135.15593,776733  0% 1% 1% 100%
83Smalltalk VisualWorks 5 min5 min376,248584  0% 0% 0% 100%
C CINT #2 Failed1099
C CINT Bad Output1101
Dart Failed632
Dart #2 Timed Out5 min648
Erlang HiPE Timed Out10 min622
Java  #6 Failed1410
JavaScript V8 Bad Output365
Lisp SBCL Timed Out10 min591
OCaml #4 Failed1050
OCaml #2 Failed615
OCaml Failed1502
OCaml #3 Failed1014
Racket #2 Bad Output536
Scala #3 Failed633
Scala #4 Failed723
"wrong" (different) algorithm / less comparable programs
1.1Perl #7 4.394.41139,804567
1.2Perl #6 4.604.61189,608477
1.9Erlang HiPE #7 7.387.39145,8401198
2.1Java  #3 8.238.24257,7762084
5.3Pascal Free Pascal 20.5420.55124,5441199
missing benchmark programs
Fortran Intel No program
Pascal Free Pascal No program
Rust No program

 regex-dna benchmark : Match DNA 8-mers and substitute nucleotides for IUB codes

diff program output for this 100KB input file (generated with the fasta program N = 10000) with this 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.

We use FASTA files generated by the fasta benchmark as input for this benchmark. Note: the file may include both lowercase and uppercase codes.

Each program should

Revised BSD license

  Home   Conclusions   License   Play