Programming Language and compiler
Benchmarks

Codon VS Lua benchmarks

Current benchmark data was generated on Tue Dec 31 2024, full log can be found HERE

CONTRIBUTIONS are WELCOME!

[x86_64][4 cores] AMD EPYC 7763 64-Core Processor (Model 1)

* -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.)

helloworld

Input: QwQ

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 1.lua 1.5ms 0.0ms 2.4MB 0ms 0ms luajit 2.1.0-beta3
lua 1.lua 2.2ms 1.0ms 2.1MB 0ms 0ms lua 5.4.7
codon 1.py 4.0ms 0.7ms 7.1MB 0ms 0ms codon 0.17.0

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 677ms 3.8ms 2.3MB 670ms 0ms luajit 2.1.0-beta3
codon 1.py 1232ms 11ms 5.8MB 1220ms 0ms codon 0.17.0
lua 4.lua timeout 0.0ms 2.3MB 4987ms 0ms lua 5.4.7

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 72ms 3.0ms 2.3MB 60ms 0ms luajit 2.1.0-beta3
codon 1.py 131ms 4.2ms 7.7MB 120ms 0ms codon 0.17.0
lua 4.lua 1042ms 22ms 2.3MB 1033ms 0ms lua 5.4.7

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 348ms 9.8ms 46.5MB 333ms 0ms codon 0.17.0
codon 2.py 805ms 5.6ms 99.9MB 790ms 13ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 71ms 1.3ms 15.3MB 57ms 0ms codon 0.17.0
codon 2.py 185ms 0.8ms 25.8MB 170ms 3ms codon 0.17.0