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Getting 50 GB/S Back from the Apple Neural Engine

s Back Out of the ANE Introduction An RTL performance erratum in the Apple M3 Neural Engine throttles DRAM weight streaming throughput down to 17–19 GB/s from the nominal 45–60 GB/s, whenever the total weight size is an integer multiple of 1 MiB, which currently affects 7 of ANEMLL’s 15 models. Avoiding the problematic path in the kernel DMA engine's speculative prefetch ring increased Llama 3.2 1B token throughput from 10.0 to 24.3 tokens/s (DRAM usage from 24.7 to 60.0 GB/s), and Qwen3-8B from 1.36 to 2.97 tokens/s (DRAM usage from 22.4 to 48.7 GB/s).

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