Codon VS Nim benchmarks

Current benchmark data was generated on Thu May 01 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 1.0ms 0.0ms 1.5MB 0ms 0ms nim 2.2.4
nim 1.nim 1.1ms 0.0ms 1.9MB 0ms 0ms nim/clang 2.2.4
codon 1-m.py 11ms 0.6ms 9.0MB 20ms 0ms codon 0.18.2

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
nim 2.nim 320ms 1.7ms 1.8MB 310ms 0ms nim 2.2.4
nim 2.nim 344ms 1.7ms 2.0MB 337ms 0ms nim/clang 2.2.4
codon 1.py 1317ms 2.2ms 8.9MB 1623ms 0ms codon 0.18.2

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
nim 2.nim 35ms 0.5ms 1.8MB 30ms 0ms nim 2.2.4
nim 2.nim 37ms 0.5ms 2.0MB 30ms 0ms nim/clang 2.2.4
codon 1-m.py 174ms 3.5ms 8.8MB 483ms 0ms codon 0.18.2

nsieve

Input: 12

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
nim 1.nim 269ms 7.3ms 41.5MB 260ms 0ms nim 2.2.4
nim 1.nim 318ms 3.3ms 41.8MB 307ms 0ms nim/clang 2.2.4
codon 1-m.py 444ms 7.4ms 47.7MB 747ms 0ms codon 0.18.2
codon 2.py 1528ms 20ms 100.8MB 1827ms 30ms codon 0.18.2

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
nim 1.nim 54ms 4.3ms 11.5MB 47ms 0ms nim 2.2.4
nim 1.nim 65ms 1.4ms 11.8MB 57ms 0ms nim/clang 2.2.4
codon 1-m.py 127ms 3.2ms 18.4MB 427ms 0ms codon 0.18.2
codon 2-m.py 398ms 9.8ms 27.1MB 707ms 3ms codon 0.18.2