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Tensorflow-Metal TFLite Inference orders of magnitude slower than regular Tensorflow
Hardware: 16" 2023 MBP M3 Pro OS: 14.4.1 Memory: 36 GB python version: 3.8.16 TF-Metal version: tensorflow-metal 1.0.1 installed via pip TF version: 2.13.0 Tensorflow-Metal starts pretty slow, approximately 10s/iteration and over the course of 36 iteration progressively slows down to over 120s/iteration. Info log prints out that TFLite is using XNNPack. Can't share the TFLite model but it is relatively shallow, small, and simple. Uninstalled TF-Metal, and installed tensorflow. Inference speed picks right up and is rock solid at 0.78s/iteration. What is going on??? **TLDR, TFLite inference speed: TF Metal = 120s/iteration TF = 0.78s/iteration**
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Apr ’24