Metal provides low-level access to 3D graphics, rendering and compute features in GPUs. With the deprecation of OpenGL and OpenCL, it’s vital, especially for M1 Macs/
GPU
How does unified memory make Apple Silicon Macs faster? Why can’t you add your own memory? How much do you need?
Summary and links for the latest information about what’s in the current M1 chip, from differences in caches between cores, to the Matrix Coprocessor and Fabric limitations.
iOS and iPadOS apps run on M1 Macs in an environment managed by RunningBoard, FrontBoard, FuseBoard, and several assistants.
In an M1 Mac, all its main components are tightly integrated and interdependent. To achieve performance with versatility, they come ready-built, not kits.
How to tell apart unexpected quits, WindowServer crashes, kernel panics, and more – and what to do about them.
What is wrong when, out of the blue, the display freezes for ten seconds, then you see a black screen and are asked to log back into your account? Malware perhaps?
When everything is running sweetly, macOS performance isn’t a problem. In most respects, though, 10.15 is no better prepared to cope with problems than 10.0 was almost 20 years ago.
One solution to running 32-bit apps in Catalina is a VM. Here I assess the performance of Parallels Desktop 15. Is it up to the job?
How have Intel Macs and the SoCs in Apple’s iPads and iPhones improved in performance since 2014? Which has the cost-performance advantage?
The Eclectic Light Company 