# MacOS ARM64 no faster than emulated x86?

**URL:** <https://discourse.julialang.org/t/macos-arm64-no-faster-than-emulated-x86/72481>\
**Category:** Performance\
**Created:** [December 2, 2021, 6:17pm UTC](https://discourse.julialang.org/t/macos-arm64-no-faster-than-emulated-x86/72481 "2021-12-02T18:17:55Z")\
**Posts on this page:** 1\
**Showing post:** 9

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**Author:** ![lawless-m](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lawless-m/32/30869_2.png) [@lawless-m](https://discourse.julialang.org/u/lawless-m)\
**Post date:** [December 3, 2021, 2:29pm UTC](https://discourse.julialang.org/t/macos-arm64-no-faster-than-emulated-x86/72481/9 "2021-12-03T14:29:31Z")

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You might be interested in this post, which uses some more intensive examples, which are also simple to run yourself

> [@JuMP.jl and DifferentialEquation.jl benchmarks on M1 Max Julia 1.7.0 x89 vs ARM. (spoiler: ARM is 1.5-2x faster)](https://discourse.julialang.org/t/jump-jl-and-differentialequation-jl-benchmarks-on-m1-max-julia-1-7-0-x89-vs-arm-spoiler-arm-is-1-5-2x-faster/72496):
>
> This is just FYI for fun in case people are interested. I compared JuMP, DiffEq and simple sort() on M1 Max MacBook using official binaries of Julia 1.7.0 with either Native ARM or x86 with Rosetta2. Native ARM version seems to be 1.5-2x faster in JuMP, DiffEq and sort() benchmarks. ARM Julia 1.7 still has a bunch of bugs ([https://github.com/JuliaLang/julia/issues/41440](https://github.com/JuliaLang/julia/issues/41440) and [https://github.com/JuliaLang/julia/issues/41820](https://github.com/JuliaLang/julia/issues/41820)) and even the processor seems to not be recognized correctly ([Feature/CP…](https://github.com/JuliaLang/julia/issues/40876)

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