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From a novice can anyone say what the bottle necks for real time video inference?

OK, I have been playing with almost every sample that was included with a Pi 3B+ and
2 Movidius compute sticks. My basic question is, how do you get better performance?
According to the CPU monitor the PI cpu is barely taxed.
Its at 18 to 20%. So what changes can be made to get you the most bang for your inference buck.
Another board with USB3 like the ODroid XU4? Or maybe the Intel Up Board?
Maybe a different model? Maybe image size?
I am currently running at 640x480 but think 1/2HD 960x540 would deliver better edges.
Is it because I am using Python? Is there a guide to Movidius 30fps inference?

Also notice how this person is walking and not being detected. Is that because of the physical size?
https://ibb.co/gKdSf8
So far I have been able to track up to 30ft away with no real issue.

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