Object Detection API performance on AMD G Embedded CPUs

This is my first post here, so hello everyone!
I am using SSD MobileNet V2 FPNLite 320×320 as model currently, but I am just prototyping, so it could change. Basically – I need a relatively low power device which will run my model in real time. Raspberry Pi is out of stock everywhere and I found possible alternative – second hand thin clients. Most of cheap ones have AMD G Embedded CPUs – G-T56N or G-T48E and I couldn’t find anything about them related in any way to machine learning. Will they have enough power to run object detection in real time? How do they compare to RPi 4 or 3 performance? I am obviously fine with bigger form factor and power consumption.

Any help will be appreciated!