Just did an experimental test with CP AI Benchmark tab. Got an image from the web:
Rescaled that to various sizes: 4k, 2k, 1280, 720, 640, 320, 160 wide images and provided them to the AI benchmark.
Then checked the resulting detection %, FPS and CPU load.
- Detection % of the person on the 160 wide was less by 10% (68 %) than on the others. Others (320 ... 4k) had the same 78-79 %).
- FPS from 160 to 720 width was pretty much the same. Above 720 it was in inverse proportion to the width.
- CPU load was around 10 % up to 720. Above 720 it rose to 40 % at 4k. It may be due to CPU-based downscaling to AI input.
From these I think it seems that:
- Anything above 720 width has no advantage (as the CPU downscales anyway, not the AI is that processes...) in detection accuracy.
- Anything above 720 significantly prolonges AI detection time (CPU time may be added) and loads the CPU, hence also requires more power and generates more heat.
It's good to know for AI detection. I wanted to see it for sure.