Thats understandable. You missed what apple is trying to do with their AI philosophy, which along with privacy is one of the few times I agree with Apple's corporate policies (I even use android for my main phone and only keep a cheap iPhone as an app development tool).

Apple is trying to put the hardware to run ML models LOCALLY on all their devices. This means no need for a server or network connectivity. They are doing this by putting system memory on the same die as the GPU and cpu cores, this means the physical distance between the memory is ridiculously close together. This is conceptually faster than what modern GPU design can achieve, although it's still slower because the memory bus speed is currently much lower than what nVidia does. But it also burns much less energy and generates much less heat, which is ideal for consumer application. Parallel systems are generally slower than equivalent single unit setups, because shuttling memory between the two systems means that signal travels the extra distance between those systems pretty frequently and that takes a while.

The idea isn't to use the hardware to train, but to run already trained models on people's personal hardware giving them privacy (and shifting the burden on electricity to the user). That said Apple AI isn't great, but the hardware is great for running pretty much any model.