Programming Language and compiler
Benchmarks

Codon VS Lua benchmarks

Current benchmark data was generated on Sun Jul 13 2025, 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 1.4ms 0.2ms 2.4MB 0ms 0ms luajit 2.1.0-beta3
lua 1.lua 1.4ms 0.2ms 2.1MB 0ms 0ms lua 5.4.7
codon 1-m.py 11ms 1.0ms 8.6MB 22ms 0ms codon 0.19.0

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 713ms 3.7ms 2.3MB 703ms 0ms luajit 2.1.0-beta3
codon 1.py 1318ms 1.0ms 9.4MB 1627ms 0ms codon 0.19.0
lua 4.lua timeout 0.0ms 2.3MB 4990ms 0ms lua 5.4.7

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
lua 4.lua 74ms 0.9ms 2.3MB 67ms 0ms luajit 2.1.0-beta3
codon 1-m.py 176ms 3.2ms 9.4MB 487ms 0ms codon 0.19.0
lua 4.lua 1154ms 10ms 2.3MB 1143ms 0ms lua 5.4.7

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1-m.py 410ms 9.1ms 48.4MB 713ms 3ms codon 0.19.0
codon 2.py 903ms 4.6ms 100.8MB 1207ms 20ms codon 0.19.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1-m.py 118ms 3.1ms 18.9MB 423ms 0ms codon 0.19.0
codon 2-m.py 236ms 3.0ms 27.6MB 540ms 3ms codon 0.19.0