What is MLBenchy?

it is running few neural networks design . The application is pretty large, around 800MB because it includes 7 of the most commonly used inference. We recommend that you only download it over wifi.
Nudity detection model is 224×224, net size is 24MBTinyYolo is 416×416, net size is 64MB
Restnet is 224×224, net size is 100MB
Sentiment is a Dictionary based inference, with a string to Double association , Net size is 275KB.
Car Recognition is 224×224 , net size is 25MB
CNNEmotion recognition is 224×224, net size is around 400MB
GenderNet is 227×227, net size is 45MB
InceptionV3 is 299×299, Net size is 94MB
GoogleNetPlaces is 224×224, and net size is 25MB
1st iteration of the benchmark is loading the neuronal network into memory, while running the inference once. It shows you the warm up time of the system.
2nd iteration is having too much variation to be meaning full.
3rd iteration shows you a pretty stable number.
Please contact us if you need interpretation assistance.

Notice that a PC version will be coming, to compare the Apple capabilities against PC AI capabilities.