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AMD-OSX/AMD_Vanilla: Native AMD macOS via OpenCore

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

AMD-OSX/AMD_Vanilla

开源软件地址(OpenSource Url):

https://github.com/AMD-OSX/AMD_Vanilla

开源编程语言(OpenSource Language):


开源软件介绍(OpenSource Introduction):

AMD Vanilla OpenCore

Patches for Beta versions are provided but no support is given until the OS is released.

Try these patches at your own risk and always have a backup EFI to boot.

Languages: English (current)

Binary Kernel patches to enable almost native AMD CPU support on macOS.

Read Me First!

Patches are now universal across 15h, 16h, 17h and 19h by utilizing the OpenCore Kernel Quirk ProvideCurrentCpuInfo. OpenCore 0.7.1 or newer is required.

Make sure to enable this quirk or the system won't boot.

This quirk provides the kernel with the CPU frequencies for macOS to boot.

Core Count patch needs to be modified to boot your system. Find the three algrey - Force cpuid_cores_per_package patches and alter the Replace value only.

Changing B8000000 0000/BA000000 0000/BA000000 0090* to B8 <CoreCount> 0000 0000/BA <CoreCount> 0000 0000/BA <CoreCount> 0000 0090* substituting <CoreCount> with the hexadecimal value matching your physical core count.

Note: The three different values reflect the patch for different versions of macOS. Be sure to change all three if you boot macOS 10.13 to macOS 12

See the table below for the values matching your CPU Core Count.

CoreCount Hexadecimal
4 Core 04
6 Core 06
8 Core 08
12 Core 0C
16 Core 10
24 Core 18
32 Core 20

So for example a 6 Core 5600X Replace value would result in these replace values, B8 06 0000 0000/BA 06 0000 0000/BA 06 0000 0090


Features

  • Enables macOS to run on AMD CPUs on the fly.

  • Enables iMessage, Siri, FaceTime, Continuity etc.

  • Stable compared to custom XNU kernel.

Disadvantages

  • No 32-bit support (OPEMU) in 10.14 and lower

Supported AMD CPU's

Family Codename Example
15h Bulldozer FX Series
16h Jaguar A Series (including AM4 A-Series)
17h and 19h Zen Ryzen, 1st, 2nd + 3rd Gen Threadripper, Athlon 2xxGE

Information on the PAT fix patch

The default enabled patch is Algrey's original patch. This will work for all GPUs and doesn't affect audio but doesn't improve the performance.

The other choice is Shaneee's patch which will increase GPU performance on AMD GPUs but can stop Nvidia GPUs booting. It also causes audio issues when using HDMI and DP audio.

The choice is yours on which patch to use. Please don't try to use them both at the same time.

Note on TRX40 Systems

mtrr_update_action - fix PAT patch is not required for TRX40 systems. Disabling it will result in GPU performance improvements. Test this configuration on a USB drive first in preparation for the unlikely event that something goes wrong. Proceed at your own risk.

Supported macOS versions

  • High Sierra 10.13.x

  • Mojave 10.14.x

  • Catalina 10.15.x

  • Big Sur 11.x

  • Monterey 12.x

  • Ventura 13.x ( Patches provided but No* support for beta versions. )

Instructions

Follow the Dortania OpenCore Install Guide for instructions on how to create the installer USB and setup the config file with these patches.

Special Notes

  • Use the latest Release of OpenCore to avoid incompatibilities. Find the latest release here.

  • For support creating OpenCore config read the docs and visit this guide or the Discord server.

  • For 15h_16h CPU family users on macOS Mojave:

  • Upon booting to macOS Mojave for first time, the system will reboot after the Data & Privacy screen. To fix this issue follow the procedure mentioned here under UPDATE-2 heading.

  • On macOS Mojave certain webpages will crash upon loading (eg. brew.sh, facebook.com). To fix this issue follow the procedure mentioned here under the UPDATE-5 heading.



## Credits

- [AlGrey](https://github.com/AlGreyy) for the idea and creating the patches.

- [XLNC](https://github.com/XLNCs) for maintaining patches to various macOS versions.

- [Acidanthera](https://github.com/acidanthera) for OpenCore.

- Sinetek, Andy Vandijck, spakk, Bronya, Tora Chi Yo, [Shaneee](https://github.com/Shaneee) and many others for sharing their AMD/XNU kernel knowledge



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