Codon VS Zig benchmarks

Current benchmark data was generated on Sat Nov 16 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
zig 1.zig 1.0ms 0.0ms 1.3MB 0ms 0ms zig 0.13.0
codon 1.py 4.6ms 0.6ms 7.4MB 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 273ms 0.3ms 1.1MB 263ms 0ms zig 0.13.0
zig 1.zig 314ms 0.9ms 1.3MB 300ms 0ms zig 0.13.0
codon 1.py 1302ms 15ms 7.9MB 1287ms 0ms codon 0.17.0

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 2.zig 30ms 1.5ms 1.1MB 20ms 0ms zig 0.13.0
zig 1.zig 34ms 0.6ms 1.3MB 23ms 0ms zig 0.13.0
codon 1.py 136ms 1.4ms 7.9MB 130ms 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 256ms 0.6ms 40.3MB 240ms 3ms zig 0.13.0
zig 2.zig 331ms 0.1ms 6.1MB 320ms 0ms zig 0.13.0
codon 1.py 374ms 2.0ms 46.6MB 357ms 0ms codon 0.17.0
codon 2.py 856ms 4.9ms 99.8MB 833ms 20ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 1.zig 49ms 1.5ms 11.0MB 40ms 0ms zig 0.13.0
codon 1.py 73ms 2.7ms 17.3MB 60ms 0ms codon 0.17.0
zig 2.zig 81ms 0.6ms 2.4MB 70ms 0ms zig 0.13.0
codon 2.py 197ms 1.6ms 25.6MB 187ms 3ms codon 0.17.0