Programming Language and compiler
Benchmarks

Codon VS Zig benchmarks

Current benchmark data was generated on Wed Jan 22 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
zig 1.zig 1.0ms 0.1ms 1.3MB 0ms 0ms zig 0.13.0
codon 1.py 4.1ms 0.5ms 5.5MB 0ms 0ms codon 0.17.0

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 2.zig 274ms 0.5ms 1.1MB 270ms 0ms zig 0.13.0
zig 1.zig 313ms 0.7ms 1.3MB 300ms 0ms zig 0.13.0
codon 1.py 1371ms 99ms 7.9MB 1357ms 0ms codon 0.17.0

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 2.zig 29ms 0.0ms 1.1MB 20ms 0ms zig 0.13.0
zig 1.zig 34ms 0.3ms 1.3MB 27ms 0ms zig 0.13.0
codon 1.py 135ms 1.9ms 7.9MB 123ms 0ms codon 0.17.0

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 1.zig 268ms 1.7ms 40.3MB 247ms 3ms zig 0.13.0
zig 2.zig 334ms 8.4ms 6.1MB 323ms 0ms zig 0.13.0
codon 1.py 368ms 5.0ms 46.5MB 357ms 0ms codon 0.17.0
codon 2.py 848ms 3.7ms 100.0MB 830ms 13ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 1.zig 50ms 1.6ms 11.0MB 37ms 0ms zig 0.13.0
codon 1.py 71ms 1.3ms 15.3MB 60ms 0ms codon 0.17.0
zig 2.zig 81ms 1.4ms 2.4MB 70ms 0ms zig 0.13.0
codon 2.py 198ms 1.5ms 25.9MB 187ms 3ms codon 0.17.0