Cross-Apple-Silicon performance and fp16-correctness measurements for the Apple Neural Engine (ANE), collected with ANEForge. Each row is one machine (grouped by hardware hash; identical silicon in different chassis stays distinct by model identifier). ranks these machines by peak GEMM, perf-per-watt, and decode throughput. These are community-contributed submissions mirrored from the public in the repo. The full per-size sweeps live in raw/; rooflines.json is the flattened headline table; ROOFLINES.md is the human-readable version. - peakfp16gemmtflops is the most robust cross-chip number. Bandwidth/ridge come from a streaming sweep and are more dispatch-overhead-sensitive on smaller/older…