@damoclark I too tried tensorflow-metal 0.4.0 last week and confirm the problem still persists. If you load a model and run a prediction on a single image, the predictions are correct. It is the subsequent predictions that are providing nonsense results.
AdkPete
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Mona190: I don't have a fix and the other models that I thought were working, are not actually working. I looked at the outputs from the models and scores are numbers like 90000 when they should be between 0 and 1. Also the output of a prediction can produce wacky non-existent class values. Something is very wrong with the plugin.
UPDATE: It may be something specific to the SSD Resnet50 v1 architecture. I have several other models built with the same pipeline and data which do seem to be working.