There are multiple benchmarks, but it's hard to trust anything because of varying level of skill with each language (and also there is no point in creating unma

There are multiple benchmarks, but it's hard to trust anything because of varying level of skill with each language (and also there is no point in creating unmaintainable code just for speed as you say, the ideal comparison would be with idiomatic performance aware code). Also Julia is probably on tier 3, but in math problems it targets tier 1 (similarly how to python drops down to tier 1 for ML but on a language level). https://julialang.org/benchmarks/ https://julialang.org/benchmarks/ https://news.ycombinator.com/item?id=19750507 https://news.ycombinator.com/item?id=19750507 (picked the discussion because combining the optimizations of two people CL got to Julia level, though Julia code is correctly written but not particularly optimized) https://github.com/jonathanBieler/ScientificComputingBenchmarks.jl https://github.com/jonathanBieler/ScientificComputingBenchma... https://benchmarksgame-team.pages.debian.net/benchmarksgame/fastest/julia-sbcl.html https://benchmarksgame-team.pages.debian.net/benchmarksgame/... (the more direct comparison)