Codon VS Javascript benchmarks

Current benchmark data was generated on Tue Dec 31 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
codon 1.py 4.0ms 0.7ms 7.1MB 0ms 0ms codon 0.17.0
javascript 1.js 12ms 0.4ms 32.1MB 10ms 0ms bun 1.1.42
javascript 1.js 29ms 1.3ms 51.9MB 14ms 4ms node 23.5.0

nbody

Input: 5000000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
javascript 6.js 442ms 11ms 59.8MB 427ms 7ms node 23.5.0
javascript 6.js 628ms 10ms 44.6MB 627ms 3ms bun 1.1.42
codon 1.py 1232ms 11ms 5.8MB 1220ms 0ms codon 0.17.0

Input: 500000

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
javascript 6.js 72ms 1.0ms 59.9MB 57ms 3ms node 23.5.0
javascript 6.js 82ms 1.6ms 44.8MB 83ms 3ms bun 1.1.42
codon 1.py 131ms 4.2ms 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
codon 1.py 348ms 9.8ms 46.5MB 333ms 0ms codon 0.17.0
codon 2.py 805ms 5.6ms 99.9MB 790ms 13ms codon 0.17.0

Input: 10

lang code time stddev peak-mem mem time(user) time(sys) compiler compiler/runtime
codon 1.py 71ms 1.3ms 15.3MB 57ms 0ms codon 0.17.0
codon 2.py 185ms 0.8ms 25.8MB 170ms 3ms codon 0.17.0