# \#apple

**URL:** https://discourse.julialang.org/tag/apple/856.md

[Latest](https://discourse.julialang.org/latest.md) · [Categories](https://discourse.julialang.org/categories.md) · [Tags](https://discourse.julialang.org/tags.md)

---

## [Multithreading on Apple M5 chips](https://discourse.julialang.org/t/multithreading-on-apple-m5-chips/136109)

<div class="topic-metadata">

**Author:** [@chrisnekarda](https://discourse.julialang.org/u/chrisnekarda)\
**Replies:** 4\
**Last updated:** [March 11, 2026, 12:37am UTC](https://discourse.julialang.org/t/multithreading-on-apple-m5-chips/136109 "2026-03-11T00:37:28Z")

</div>

I’m considering upgrading to the new Apple M5-series hardware and have a question regarding how Julia will handle the new core tiers. Previous generations of Apple Silicon had two types of cores, “performance” (P-cores)…

---

## [Apple M4 Max AMX Linear Algebra performance versus CPU and GPU](https://discourse.julialang.org/t/apple-m4-max-amx-linear-algebra-performance-versus-cpu-and-gpu/132537)

<div class="topic-metadata">

**Author:** [@PetarM](https://discourse.julialang.org/u/PetarM)\
**Replies:** 2\
**Last updated:** [September 22, 2025, 12:17am UTC](https://discourse.julialang.org/t/apple-m4-max-amx-linear-algebra-performance-versus-cpu-and-gpu/132537 "2025-09-22T00:17:46Z")

</div>

Hello everybody! I made a video investigation of Apple’s AMX accelerator Linear Algebra performance in Julia: https://www.youtube.com/watch?v=TjfA9LVgHXk According to my findings, the 2 AMX cores achieve almost 3 times…

---

## [MLX and Apple silicon](https://discourse.julialang.org/t/mlx-and-apple-silicon/125136)

<div class="topic-metadata">

**Author:** [@Hareruya](https://discourse.julialang.org/u/Hareruya)\
**Replies:** 4\
**Last updated:** [January 24, 2025, 2:44am UTC](https://discourse.julialang.org/t/mlx-and-apple-silicon/125136 "2025-01-24T02:44:02Z")

</div>

Good evening. I have recently bought an M4 MacbookPro Max and have been using it to do some programming in my free time, messing around with image processing on the side. The machine is very powerful and energy efficien…

---

## [Keep getting \`'apple-m3' is not a recognized processor for this target (ignoring processor)\`](https://discourse.julialang.org/t/keep-getting-apple-m3-is-not-a-recognized-processor-for-this-target-ignoring-processor/122573)

<div class="topic-metadata">

**Author:** [@facusapienza](https://discourse.julialang.org/u/facusapienza)\
**Replies:** 2\
**Last updated:** [November 13, 2024, 6:51pm UTC](https://discourse.julialang.org/t/keep-getting-apple-m3-is-not-a-recognized-processor-for-this-target-ignoring-processor/122573 "2024-11-13T18:51:01Z")

</div>

Hi all, Sorry for the noise, but I keep getting this error when compiling my Julia libraries: 'apple-m3' is not a recognized processor for this target (ignoring processor) I am using an M1 MacBook pro. I cannot fin…

---

## [Curl\_multi\_assign and segmentation fault when installing package](https://discourse.julialang.org/t/curl-multi-assign-and-segmentation-fault-when-installing-package/120901)

<div class="topic-metadata">

**Author:** [@arnerob](https://discourse.julialang.org/u/arnerob)\
**Replies:** 5\
**Last updated:** [October 4, 2024, 5:31pm UTC](https://discourse.julialang.org/t/curl-multi-assign-and-segmentation-fault-when-installing-package/120901 "2024-10-04T17:31:04Z")

</div>

I recently switched to Apple M2 and I tried to install FFTW.jl. I did the following in a fresh REPL: julia\> using Pkg julia\> Pkg.add("FFTW") Resolving package versions... Updating \`~/.julia/environments/v1.10/Pr…

---

## [Flux with Metal backend slower than on CPU (Apple M2 Pro)](https://discourse.julialang.org/t/flux-with-metal-backend-slower-than-on-cpu-apple-m2-pro/113080)

<div class="topic-metadata">

**Author:** [@pat-alt](https://discourse.julialang.org/u/pat-alt)\
**Replies:** 5\
**Last updated:** [April 18, 2024, 9:40am UTC](https://discourse.julialang.org/t/flux-with-metal-backend-slower-than-on-cpu-apple-m2-pro/113080 "2024-04-18T09:40:57Z")

</div>

This might be a very silly question (so apologies in advance!), but I have found little discussion on this topic anywhere. I have yet to actually make of my Mac’s M2 GPU using Flux with the Metal.jl backend. But every t…

---

## [Is it possible to diagonalize matrices with M-series Apple Silicon GPUs?](https://discourse.julialang.org/t/is-it-possible-to-diagonalize-matrices-with-m-series-apple-silicon-gpus/106075)

<div class="topic-metadata">

**Author:** [@mdyuki](https://discourse.julialang.org/u/mdyuki)\
**Replies:** 10\
**Last updated:** [January 12, 2024, 3:39pm UTC](https://discourse.julialang.org/t/is-it-possible-to-diagonalize-matrices-with-m-series-apple-silicon-gpus/106075 "2024-01-12T15:39:22Z")

</div>

Hello. I have to diagonalize Hermtian matrices with large (e.g. 10k X 10k) dimensions for many times. To reduce computing time, I am considering using GPUs. Since I have a Mac mini with M1 chip now, I would like to try …

---

## [Using an Intel GPU on Macbook Pro](https://discourse.julialang.org/t/using-an-intel-gpu-on-macbook-pro/100782)

<div class="topic-metadata">

**Author:** [@alexdmeyer](https://discourse.julialang.org/u/alexdmeyer)\
**Replies:** 6\
**Last updated:** [June 25, 2023, 8:59am UTC](https://discourse.julialang.org/t/using-an-intel-gpu-on-macbook-pro/100782 "2023-06-25T08:59:46Z")

</div>

Hey Julia Community, I’m only just starting to learn about GPU programming (mainly for deep learning with Flux, but I’m curious if/how I could use it for my other projects). One barrier to getting started, though, is I…

---

## [Metal throws ERROR: Exception handler triggered on unmanaged thread](https://discourse.julialang.org/t/metal-throws-error-exception-handler-triggered-on-unmanaged-thread/97727)

<div class="topic-metadata">

**Author:** [@pitsianis](https://discourse.julialang.org/u/pitsianis)\
**Replies:** 2\
**Last updated:** [April 21, 2023, 3:07pm UTC](https://discourse.julialang.org/t/metal-throws-error-exception-handler-triggered-on-unmanaged-thread/97727 "2023-04-21T15:07:49Z")

</div>

This is my very first try to use the M2 GPU using the 1.9-rc2 aa64. The following implements a straight forward imperative bitonic sort. However, when running from the REPL, from time to time, it throws ERROR: Exception…

---

## [XGBoost rewrite using Metal.jl](https://discourse.julialang.org/t/xgboost-rewrite-using-metal-jl/94056)

<div class="topic-metadata">

**Author:** [@roh\_codeur](https://discourse.julialang.org/u/roh_codeur)\
**Replies:** 0\
**Last updated:** [February 4, 2023, 5:41pm UTC](https://discourse.julialang.org/t/xgboost-rewrite-using-metal-jl/94056 "2023-02-04T17:41:31Z")

</div>

Hi Is anyone working on porting XGBoost to Metal.jl? Looks like official XGBoost lib don’t plan to support Apple M1 mac GPU (Apple Sillicon) thanks Roh

---

## [PyCall installation on macOS - M1](https://discourse.julialang.org/t/pycall-installation-on-macos-m1/87980)

<div class="topic-metadata">

**Author:** [@CompulsoryCoffee](https://discourse.julialang.org/u/CompulsoryCoffee)\
**Replies:** 1\
**Last updated:** [September 29, 2022, 1:12pm UTC](https://discourse.julialang.org/t/pycall-installation-on-macos-m1/87980 "2022-09-29T13:12:42Z")

</div>

Hi, I need to run sklearn.metrics library which is not available in Julia yet. I tried to run on my macbookpro M1 but I run into this issue: julia\> using PyCall Python path configuration: PYTHONHOME = ‘/Users/alexd…

---

## [Julia unresponsive (Apple Silicon issue?)](https://discourse.julialang.org/t/julia-unresponsive-apple-silicon-issue/87484)

<div class="topic-metadata">

**Author:** [@hendri54](https://discourse.julialang.org/u/hendri54)\
**Replies:** 6\
**Last updated:** [September 21, 2022, 12:01am UTC](https://discourse.julialang.org/t/julia-unresponsive-apple-silicon-issue/87484 "2022-09-21T00:01:11Z")

</div>

I have a recurring problem where a long-running process hangs after some time. Screen updating then stops and Ctrl-C or Ctrl-D no longer interrupt the code. I have to restart iterm to stop execution. This happens after …

---

## [Julia VS Code Extension on Apple Silicon](https://discourse.julialang.org/t/julia-vs-code-extension-on-apple-silicon/83772)

<div class="topic-metadata">

**Author:** [@Yue-Zhengyuan](https://discourse.julialang.org/u/Yue-Zhengyuan)\
**Replies:** 5\
**Last updated:** [July 7, 2022, 9:57am UTC](https://discourse.julialang.org/t/julia-vs-code-extension-on-apple-silicon/83772 "2022-07-07T09:57:29Z")

</div>

Is the latest Julia VS Code extension (version 1.6.24) able to run natively on Apple Silicon with the native build of VS Code (not the universal build)? I don’t have a Mac with Apple Silicon at hand so I cannot test now. …

---

## [Metal.jl : Seamless GPU acceleration for Julia based physics using unified processing units?](https://discourse.julialang.org/t/metal-jl-seamless-gpu-acceleration-for-julia-based-physics-using-unified-processing-units/83006)

<div class="topic-metadata">

**Author:** [@LaurentPlagne](https://discourse.julialang.org/u/LaurentPlagne)\
**Replies:** 1\
**Last updated:** [July 1, 2022, 10:38am UTC](https://discourse.julialang.org/t/metal-jl-seamless-gpu-acceleration-for-julia-based-physics-using-unified-processing-units/83006 "2022-07-01T10:38:21Z")

</div>

Hi, I found this work about GPU programming with apple silicon machines very interesting : Seamless GPU acceleration for C++ based physics using unified processing units: A case study for elastic wave propagation and PD…

---

## [Providing artifacts/libraries for unsupported platforms (e.g. Apple Silicon)](https://discourse.julialang.org/t/providing-artifacts-libraries-for-unsupported-platforms-e-g-apple-silicon/75411)

<div class="topic-metadata">

**Author:** [@Hawkes](https://discourse.julialang.org/u/Hawkes)\
**Replies:** 5\
**Last updated:** [January 29, 2022, 9:32pm UTC](https://discourse.julialang.org/t/providing-artifacts-libraries-for-unsupported-platforms-e-g-apple-silicon/75411 "2022-01-29T21:32:07Z")

</div>

Hi, as I have recently switched to a MBP with Apple M1 I have experienced some issues with packages relying on Artifacts/JLL packages which do not yet include a wrapper in their JLL package. In particular I have encoun…

---

## [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)

<div class="topic-metadata">

**Author:** [@DenisTitov](https://discourse.julialang.org/u/DenisTitov)\
**Replies:** 12\
**Last updated:** [December 5, 2021, 4:11pm UTC](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 "2021-12-05T16:11:19Z")

</div>

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…

---

## [Apple silicon full power](https://discourse.julialang.org/t/apple-silicon-full-power/70662)

<div class="topic-metadata">

**Author:** [@tomtom](https://discourse.julialang.org/u/tomtom)\
**Replies:** 19\
**Last updated:** [November 18, 2021, 9:13am UTC](https://discourse.julialang.org/t/apple-silicon-full-power/70662 "2021-11-18T09:13:59Z")

</div>

First of all, I would like to thank for the efforts put in v1.7 that supports Apple silicon CPU :100: :bowing\_man: Just two years or so earlier, no body understands why Apple going away from standard GPU libraries like …