The resume section implied a .part file's size reflected progress; with falloc
it is full-size from the first second and only the checkpointed pieces are
skipped. Adds the corrupt-video and truncation rules, and the new
--auto-save-interval row.
README-intel.md's 5.2x figure does not reproduce on this box today (~4.0x from
the repo's own bench.py, GPU/CPU ratio unchanged), so the table is marked as a
point-in-time measurement rather than a target to chase.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Set up this workstation to run Whisper on the Intel Iris Xe iGPU via
OpenVINO GenAI, and capture the setup steps and measured baseline.
- README-intel.md: end-to-end setup for Intel GPUs on Linux — compute
runtime install, render-node permissions, venv, pre-converted models,
verification, and troubleshooting.
- scripts/smoke.py: transcribes a clip on GPU and CPU, reports timings.
- scripts/bench.py: 3 passes per device in an isolated process, also
reporting CPU-time consumed to quantify offload.
Measured on Iris Xe (80 EU) + i5-1145G7 with large-v3-turbo-int8 over
121s of audio: GPU ~23s (~5.2x realtime, 1.0 cores busy) vs CPU ~39s
(~3.1x, 3.8 cores busy) — ~1.7x faster using ~6x less CPU time.
Two findings recorded in the README because both silently mislead:
Python 3.14 defaults multiprocessing to forkserver, so an unguarded
script runs a second copy of itself concurrently and inflates timings;
and short clips are dominated by fixed overhead, where GPU and CPU tie.
No pipeline code yet — environment setup only.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
JMR-devandClaude Opus 5