35b8adfa9879616742ab92f823ebe2e1220dbfcb
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>
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