"Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption." https://de

"Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption." https://developer.apple.com/documentation/coreml https://developer.apple.com/documentation/coreml Apple has always been good at running ML on device, as opposed to Google's approach of sending everything to the cloud, then mining all your data, selling it, tracking it, etc. One example is iPhotos, which implements feature detection on-device, while Google implements it in the cloud. https://www.imore.com/no-apples-machine-learning-engine-cant-surface-your-iphones-secrets https://www.imore.com/no-apples-machine-learning-engine-cant... Or for Google: https://www.theringer.com/2017/5/25/16043842/google-photos-data-collection-e8578b3256e0 https://www.theringer.com/2017/5/25/16043842/google-photos-d... (Reading this makes me wanna puke)