Same here, running on macOS 12 beta 5. tensorflow metal is much slower. Although it seems to have better accuracy. I'm new to tensorflow and maybe I'm not doing it right? Or maybe it is just another bogus "feature" of mac? On cpu: 1875/1875 [==============================] - 1s 371us/step - loss: 0.5217 - accuracy: 0.8446 Epoch 2/5 1875/1875 [==============================] - 1s 353us/step - loss: 0.1890 - accuracy: 0.9428 Epoch 3/5 1875/1875 [==============================] - 1s 362us/step - loss: 0.1459 - accuracy: 0.9555 Epoch 4/5 1875/1875 [==============================] - 1s 353us/step - loss: 0.1301 - accuracy: 0.9616 Epoch 5/5 1875/1875 [==============================] - 1s 353us/step - loss: 0.1194 - accuracy: 0.9623 on GPU: 1875/1875 [==============================] - 8s 4ms/step - loss: 0.2965 - accuracy: 0.9130 Epoch 2/5 1875/1875 [==============================] - 7s 4ms/step - loss: 0.1405 - accuracy: 0.9588 Epoch 3/5 1875/1875 [==============================] - 7s 4ms/step - loss: 0.1046 - accuracy: 0.9680 Epoch 4/5 1875/1875 [==============================] - 7s 4ms/step - loss: 0.0861 - accuracy: 0.9733 Epoch 5/5 1875/1875 [==============================] - 7s 4ms/step - loss: 0.0743 - accuracy: 0.9761