Codon VS Zig benchmarks

Current benchmark data was generated on Sun Dec 01 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 1.1ms 0.1ms 1.3MB 0ms 0ms zig 0.13.0
codon 1.py 4.2ms 0.5ms 6.9MB 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 313ms 0.6ms 1.3MB 300ms 0ms zig 0.13.0
codon 1.py 1306ms 9.3ms 7.7MB 1293ms 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 0.1ms 1.3MB 20ms 0ms zig 0.13.0
zig 1.zig 33ms 0.2ms 1.3MB 23ms 0ms zig 0.13.0
codon 1.py 136ms 1.5ms 7.7MB 120ms 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 261ms 9.1ms 40.3MB 247ms 0ms zig 0.13.0
zig 2.zig 331ms 1.3ms 6.1MB 320ms 0ms zig 0.13.0
codon 1.py 388ms 15ms 46.5MB 370ms 3ms codon 0.17.0
codon 2.py 904ms 9.6ms 99.9MB 880ms 20ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
zig 1.zig 54ms 5.1ms 11.0MB 43ms 0ms zig 0.13.0
codon 1.py 74ms 3.4ms 17.3MB 63ms 0ms codon 0.17.0
zig 2.zig 81ms 0.7ms 2.4MB 70ms 0ms zig 0.13.0
codon 2.py 199ms 0.4ms 25.7MB 190ms 0ms codon 0.17.0