Mac in the headset: final benchmark numbers; relay delay is a delay line

Review round 8 (GPT-6 Astra xhigh): --delay paused upstream reads, so busy
streams saw 30-60 ms instead of 30. Verified locally: 60-62 ms round trip
with 30 ms each way under load. No saved result used --delay.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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saphidandClaude Opus 5.5 committed 2026-09-28 21:02:26 +10:00
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@@ -196,6 +196,21 @@ Baseline on 2026-09-28 (**verified**, home Wi-Fi, Tailscale, Balanced,
| scroll (1920×1290) | 14.7 | – | 50.4 | encode 6.7, decode 6.4 (software), 9.4 Mbit/s, 16% late |
| type (1920×1290) | 16.7 | 51.2 / 73.2 | – | most of the input time is the Mac app reacting |
After this work, with the controller on (**verified**, same setup,
`bench/results/2026-09-28-9e4dcdd-final.json`; ms p50/p95). Content is
now measured from the earlier of display time and delivery, which adds
about 5 ms to scroll compared with the baseline's way of measuring:
| Scenario | Content | Input to drawn | fps drawn | Grades |
|---|---|---|---|---|
| test | 10.5 / 16.7 | 29.6 / 36.3 | 60 | all within target |
| scroll | 19.8 / 27.4 | – | 55.9 | fps, late frames (4.8%) and worst gap (222 ms) only "acceptable": Wi-Fi stalls and ScreenCaptureKit's 46–53 fps from virtual displays |
| type | 15.0 / 21.4 | 43.0 / 60.5 | – | all within target |
Of the targets, click to photon is met without the Frame's compositor (the
headset has to be worn to measure its share), and so is content latency.
The frame-rate and no-stall targets aren't yet met while scrolling.
What was learned (all **verified**, unless marked):
- The biggest costs are encoding (4–7 ms), network (4–6 ms), and decoding