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Without giving any real detail, our CoreML models, which work well on the other devices, take several seconds to load on devices with the Bionic chipset, and give a message indicating an error. I assume they're causing a lower level error, and it's then defaulting to the same solution used by the other devices. These models then execute normally, but it's several seconds for all three of our models to load really affecting our augmented reality, not to mention using more GPU power than we'd want.[espresso] [Espresso::handle_ex_plan] exception=ANECF error:[coreml] Error plan build: -1.Normally if I knew which particular operation is failing, we could address it. It's been happening through all iOS versions, since iOS 11 at least.As a workaround until this bug is addressed by Apple, is there anything in particular I can do to force it to ignore the Bionic chipset? I can't use CPU only. The GPU processing of the neural net definitely improves the speed a lot for us, but this slowdown is causing the app to be quite difficult to uses on the more modern devices. If there is some way at getting to the underlying reason for this issue, I would also like to know. The above message just isn't much to go off of.