docs: measured ARM numbers, and a correction
On a Raspberry Pi 5 at N = 100 000 and equal recall (0.9940 vs 0.9945), medians of three runs: f32 33 413 ms build 6 164 QPS int8 scalar 18 950 ms ~6 190 QPS (what v2.7.0 shipped) int8 NEON ~17 000 ms 6 640 QPS int8 SDOT 14 464 ms 7 267 QPS 1.18x f32, 2.3x build The docs said quantised search stayed off by default because aarch64 "falls back to the scalar loop, where the original trade still applies" — that it was ~13% slower than f32 there, as on x86. That was extrapolated rather than measured, and it was wrong: x86's portable baseline is SSE2 against hand-written AVX2 f32 kernels, but on aarch64 NEON is the baseline and the scalar loop vectorises well, so it already matched f32. Corrected in BENCHMARKS.md, README.md and CLAUDE.md; the released v2.7.0 changelog entry is left as it was and the correction is recorded in a new one. Labelled as Pi 5 figures throughout — a Pi's memory bandwidth and cache are far below an M-series or flagship phone, so the ratios will move. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
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@@ -44,10 +44,12 @@ Cargo workspace with 16 crates under `crates/` (plus `libaec-sys`, an internal F
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which roughly halves a loaded store's memory (2.72x -> 1.74x the raw vectors
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at 100K); because quantised distances are approximate and `ef` cannot
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compensate, the query path then re-scores the candidate pool against the
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exact embeddings, which holds recall at the f32 index's level. On AVX2 it is
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also 1.63x the QPS and 1.8x the build speed (`clawhdf5_accel::dot_i8`); it
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stays off by default only because that kernel is AVX2-only and aarch64 falls
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back to scalar. `hybrid_search` keeps one incremental BM25
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exact embeddings, which holds recall at the f32 index's level. It is also
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faster at equal recall: 1.63x the QPS on x86-64 (AVX2) and 1.18x on a
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Raspberry Pi 5 (`clawhdf5_accel::dot_i8`, NEON `SDOT` via inline asm since
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the intrinsic is unstable; plain NEON on pre-dotprod cores). The aarch64
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code is `cfg`'d out on x86, so x86 CI never compiles or lints it — test it
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on real ARM (`rpivision02`, 10.0.2.3, is a Pi 5). `hybrid_search` keeps one incremental BM25
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index for the life of the store and never writes the store: Hebbian
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activation boosts are persisted by the next checkpoint (or on drop), not per
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query. Measure any search-path change with
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