Haskell VS Codon benchmarks

Current benchmark data was generated on Sun Sep 27 2026, full log can be found HERE

CONTRIBUTIONS are WELCOME!

CPU INFO:[x86_64][4 cores] Intel(R) Core(TM) i7-3687U CPU @ 2.10GHz (Model 58)

* -m in a file name stands for multi-threading or multi-processing

* -i in a file name stands for direct intrinsics usage. (Usage of simd intrinsics via libraries is not counted)

* -ffi in a file name stands for non-stdlib FFI usage

* (You may find time < time(user) + time(sys) for some non-parallelized programs, the overhead is from GC or JIT compiler, which are allowed to take advantage of multi-cores as that's more close to real-world scenarios.)

show numbers without parallelization

show numbers with parallelization

helloworld

Input: QwQ

lang	code	time	stddev	peak-mem mem	time(user)	time(sys)	compiler compiler/runtime
codon	1.py	9.9ms	0.8ms	10.9MB	7ms	3ms	codon 0.20.2
haskell	1.hs	13ms	0.6ms	8.5MB	0ms	0ms	ghc 9.4.7

pidigits

Input: 8000

lang	code	time	stddev	peak-mem mem	time(user)	time(sys)	compiler compiler/runtime
haskell	4.hs	1157ms	6.0ms	21.3MB	1150ms	80ms	ghc 9.4.7

Input: 4000

lang	code	time	stddev	peak-mem mem	time(user)	time(sys)	compiler compiler/runtime
haskell	4.hs	321ms	23ms	19.6MB	303ms	20ms	ghc 9.4.7