Comparison between object detection algorithm speeds

I am writing my final degree project and I am having trouble to compare different algorithms in the state of the art. I am comparing ResNet, MobileNet SSD, YOLOv4, VGG16, and VGG19 used in embedded devices such as Jetson Nano or Raspberry pi. All algorithms are used for object detection but I am unable to find information about which one is faster or usually gets a higher accuracy. Also, I was looking if they can be used in low-performance devices. I would be grateful if someone is able to help me.

Thanks in advance.

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