CoreML
image classification models, vision-based tasks
It is highly optimized for Apple hardware but best suited for fixed-shape models like classification, not dynamic text generation.
autoregressive text generation for LLMs, dynamic-shape workloads like LLM decode
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FIRST-HAND READS
What people reported, in their own words. Every line links to where it was said.
“it uses ops that CoreML doesn't route to the Neural Engine, so it falls back to GPU/CPU. The weird part: forcing .cpuAndNeuralEngine is actually slower than .cpuAndGPU on this model, probably partitioning cost from unsupported ops bouncing between compute units”
NEGATIVE · performance · Hacker News · 2026-04-15
“coreml optimized by fluid audio are hands down the fastest local models i've tried”
POSITIVE · performance · Hacker News · 2026-03-05
“CoreML treats it as a black-box scheduler, stripping away any direct control or ability to train”
NEGATIVE · features · Hacker News · 2026-03-05
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