Maximum number of classes YOLO net can recognize on mobile

I'm trying to make a mobile app on image recognition(Computer Vision Application) . Does anyone know whether modern day smartphones have enough processing power/memory to recognize, say about 1 million classes from their real-time camera feed (30 fps) ?

(On-device inference or YOLO neural net concepts needed.)

What is the maximum number of classes it can reliably classify on a mobile device?

Some insight into figuring out computational loads/times in general would be helpful.

Topic inference computer-vision neural-network machine-learning

Category Data Science

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