> Microsoft kick-started the AI PC race when it unveiled a series of AI-enabled personal computers in May. Apple released the Neural Engine as part of the A11

> Microsoft kick-started the AI PC race when it unveiled a series of AI-enabled personal computers in May. Apple released the Neural Engine as part of the A11 SoC in 2017. We had an iOS app that scanned barcodes. We compared the CPU and power utilization in Xcode using a barcode scanning library that used the CPU vs. a native API. As expected, evaluating OpenCV models with the CPU used around 90%+ of the CPU, and the native API dropped the CPU load to like 2%. Power utilization also decreased significantly. I realized Apple was starting small in the AI space by introducing hardware to run computer vision models locally. It's funny to see manufacturers shout about AI when AI on the local device has been around for a few years now. I guess it depends on your definition of AI. To me, it includes running computer vision models, because while the user experience of a LLM like ChatGPT is very different from scanning a barcode, both scenarios are evaluating data using a model.