Python Interpreters Benchmarks
x64 ArchLinux : AMD® Ryzen 7 4700U®

9.9){ return number_format($d); } elseif ($d>0.0){ return number_format($d,1); } else { return " "; } } // PAGE //////////////////////////////////////////////// MkMenuForm($Tests,$SelectedTest,$Langs,NULL); $Row = $Tests[$SelectedTest]; $TestName = $Row[TEST_NAME]; $TestTag = $Row[TEST_TAG]; $TestLink = $Row[TEST_LINK]; list($Succeeded,$Failed,$Special,$Labels,$Ratios) = $Data; unset($Data); $first = 0; $NString = 'N=?'; foreach($Succeeded as $d){ if ($d[DATA_TESTVALUE]>0){ $testValue = (double)$d[DATA_TESTVALUE]; $NString = 'N='.number_format($testValue); break; } } // BEWARE - Hard coded values - BEWARE if ($TestName=='fasta'||$TestName=='k-nucleotide'|| $TestName=='reverse-complement'||$TestName=='regex-dna'){ if ($d[DATA_TESTVALUE] == 25000000) { $NString = '≈240MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 2500000) { $NString = '≈24MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 5000000) { $NString = '≈50MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 1000000) { $NString = '≈10MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 500000) { $NString = '≈5MB '.$NString; } } if ($TestName=='startup'){ $NString = ''; } // Use the table column headers to emphasize the row sort order $CPU_sort_td = 'sort'; $MEM_sort_td = 'sort'; $ELAPSED_sort_td = 'sort'; $GZBYTES_sort_td = 'sort'; if ($Sort=='fullcpu'){ $CPU_sort_td = ' '; $Chart_intro_1 = 'how many times slower'; $Chart_intro_2 = 'program was, compared to the fastest program'; } elseif ($Sort=='kb'){ $MEM_sort_td = ' '; $Chart_intro_1 = 'how many times more Memory'; $Chart_intro_2 = 'program used, compared to the program that used least Memory'; } elseif ($Sort=='elapsed'){ $ELAPSED_sort_td = ' '; $Chart_intro_1 = 'how many times slower'; $Chart_intro_2 = 'program was, compared to the fastest program'; } elseif ($Sort=='gz'){ $GZBYTES_sort_td = ' '; $Chart_intro_1 = 'how many times more Code'; $Chart_intro_2 = 'program used, compared to the program that used least Code'; } if ($CanonicalPage){ echo '

'; } ?>

  benchmark 

Each chart bar shows , one ↓  .

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.

×	Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
missing benchmark programs
	Python 2	No program
	PyPy 2	No program
	Python 3	No program
	Python development version	No program
	PyPy 3	No program
	Jython	No program
	IronPython	No program
	Cython	No program
	Nuitka	No program
	Shedskin	No program
	Numba	No program
	Pyston	No program
	MicroPython	No program
	Grumpy	No program
	Graal	No program
	RustPython	No program

  benchmark : 

diff program output N = 10 with this 1KB 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.

Each program should

• define a tree node class and methods, a tree node record and procedures, or an algebraic data type and functions, or…
• allocate a binary tree to 'stretch' memory, check it exists, and deallocate it
• allocate a long-lived binary tree which will live-on while other trees are allocated and deallocated
• allocate, walk, and deallocate many bottom-up binary trees
  • allocate a tree
  • walk the tree nodes, checksum the node items (and maybe deallocate the node)
  • deallocate the tree
• check that the long-lived binary tree still exists

Note: this is an adaptation of a benchmark for testing GC so we are interested in the whole tree being allocated before any nodes are GC'd - which probably excludes lazy evaluation.

Note: the left subtrees are heads of the right subtrees, keeping a depth counter in the accessors to avoid duplication is cheating!

Note: the tree should have tree-nodes all the way down, replacing the bottom nodes by some other value is not acceptable; and the bottom nodes should be at depth 0.

Note: these programs are being measured with the default initial heap size - the measurements may be very different with a larger initial heap size or GC tuning.

Please don't implement your own custom memory pool or free list.

The binary-trees benchmark is a simplistic adaptation of Hans Boehm's GCBench, which in turn was adapted from a benchmark by John Ellis and Pete Kovac.

Thanks to Christophe Troestler and Einar Karttunen for help with this benchmark.

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