Ubuntu : Intel® Q6600® quad-core
Computer Language Benchmarks Game      Help

- all benchmarks - binary-trees chameneos-redux fannkuch fasta k-nucleotide mandelbrot meteor-contest n-body pidigits regex-dna reverse-complement spectral-norm thread-ring - all languages - Ada 2005 GNAT ATS C GNU gcc C# Mono C++ GNU g++ Clean Erlang HiPE F# Mono Fortran Intel Go 6g 8g Haskell GHC Java 6 -server Java 6 -Xint Java 6 steady state JavaScript TraceMonkey JavaScript V8 Lisaac Lisp SBCL Lua Lua LuaJIT Mozart/Oz OCaml Pascal Free Pascal Perl PHP Python 3 Python CPython Ruby 1.9 Ruby JRuby Ruby MRI Scala Scheme PLT Smalltalk VisualWorks

"For every complex problem there is an answer that is clear, simple, and wrong."  H. L. Mencken

What fun! Can you manipulate the multipliers and weights to put your favourite language at the top of the ranking? Increase the Code multiplier! Ignore Memory! Zero out those benchmarks that push your favourite language to the bottom!

The fastest programming language? What are the trade-offs?

×   language implementation GM missing 1.0 C++ GNU g++ 1.22   1.2 C GNU gcc 1.51   1.6 ATS 1.91 2 1.8 Java 6 steady state 2.18 4 1.8 Ada 2005 GNAT 2.26 1 1.9 Java 6 -server 2.33   2.2 Lisaac 2.66 5 2.6 Haskell GHC 3.21   2.8 Scala 3.39   3.4 Pascal Free Pascal 4.21 1 3.7 Lisp SBCL 4.47 1 4.0 C# Mono 4.86   4.0 Fortran Intel 4.87 4 4.3 Clean 5.25 3 4.7 Lua LuaJIT 5.71 2 5.3 OCaml 6.45 2 8.1 F# Mono 9.96 3 12 Go 6g 8g 14.68 1 13 Erlang HiPE 15.57   14 Java 6 -Xint 17.72   16 JavaScript V8 19.68 3 22 Scheme PLT 27.30   24 Lua 29.51 2 27 PHP 33.04 1 28 Perl 33.81 1 29 Smalltalk VisualWorks 35.80 1 35 Python CPython 42.78   45 JavaScript TraceMonkey 55.17 5 51 Python 3 62.11   55 Ruby JRuby 67.64   60 Mozart/Oz 73.01 2 70 Ruby 1.9 85.39   109 Ruby MRI 132.82

data for largest N full data - smaller and largest N multipliers Time secs Memory KB Code B benchmark weight binary-trees chameneos-redux fannkuch fasta k-nucleotide mandelbrot meteor-contest n-body pidigits regex-dna reverse-complement spectral-norm thread-ring

 about the Ranking

Read "How not to lie with statistics: the correct way to summarize benchmark results" (pdf).

For each benchmark, B is the best measurement; for each language implementation, the best measurement L is then normalized to ^L/_B

GM is the Weighted Geometric Mean of those ^L/_B ratios.

missing : Language implementations with more than a couple of Timeouts distort the ranking - so they have been excluded. They can still be compared directly against another language implementation.