Codon VS Nim 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
nim 1.nim 1.1ms 0.1ms 1.6MB 0ms 0ms nim 2.2.0
nim 1.nim 1.2ms 0.1ms 1.9MB 0ms 0ms nim/clang 2.2.0
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
nim 2.nim 319ms 2.1ms 1.8MB 310ms 0ms nim 2.2.0
nim 2.nim 341ms 2.4ms 2.0MB 330ms 0ms nim/clang 2.2.0
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
nim 2.nim 35ms 1.0ms 1.8MB 27ms 0ms nim 2.2.0
nim 2.nim 36ms 0.6ms 2.0MB 30ms 0ms nim/clang 2.2.0
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
nim 1.nim 276ms 7.5ms 41.5MB 263ms 0ms nim 2.2.0
nim 1.nim 313ms 4.8ms 41.8MB 297ms 0ms nim/clang 2.2.0
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
nim 1.nim 51ms 1.2ms 11.5MB 40ms 0ms nim 2.2.0
nim 1.nim 61ms 1.1ms 11.7MB 50ms 0ms nim/clang 2.2.0
codon 1.py 71ms 1.3ms 15.3MB 60ms 0ms codon 0.17.0
codon 2.py 198ms 1.5ms 25.9MB 187ms 3ms codon 0.17.0