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Speech recognition · RTX 3090 · 24 GB
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whisper-tiny
openai · 1 tested configuration · 1 GPU
- RTX 3080 Ti · 12 GBfp16 · Audio → Text · asr_prompts · Test duration 2 s
- Throughput · Batch 1
- 65.7audio-sec/sec
- Best measured · Batch 4
- 91.8audio-sec/sec
- Observed GPU occupancy
- 0.4GiB
- P95 latency
- Not recorded
Test details · 2 batch sizes
Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.
Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.
- Engine
- faster-whisper · PyTorch 2.12.1+cu130
- Protocol
- audio-native-v1
- Dataset
- asr_prompts
- Workload
- asr
Batch size Mean throughput (audio-sec/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 65.65 — — 0.41 134.9 1 3f8b97e6 ↗ B4 91.84 — — 0.4 143.6 1 3f8b97e6 ↗