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