I am comparing my M1 MBA with my 2019 16" Intel MBP. The M1 MBA has tensorflow-metal, while the Intel MBP has TF directly from Google.
Generally, the same programs runs 2-5 times FASTER on the Intel MBP, which presumably has no GPU acceleration.
Is there anything I could have done wrong on the M1?
Here is the start of the metal run:
Metal device set to: Apple M1
systemMemory: 16.00 GB
maxCacheSize: 5.33 GB
2022-01-19 04:43:50.975025: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:305] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.
2022-01-19 04:43:50.975291: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:271] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: )
2022-01-19 04:43:51.216306: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz
Epoch 1/10
2022-01-19 04:43:51.298428: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:112] Plugin optimizer for device_type GPU is enabled.
ahostmadsen
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