RTX PRO 6000 Blackwell Server Edition · 96 GB
whisper-tiny
Open a report for complete measurements.
- Task
- Speech recognition · Audio → Text
- Workload
- Audio → Text · asr_prompts · Test duration 2 s
- Batch size
- Batch 4
- Format · Engine
- fp16 · faster-whisper · PyTorch 2.14.1
- Unit
- audio-sec/sec
- Mean throughput
- 364audio-sec/sec
- Observed GPU occupancy
- 1.4 GiB
- P95 latency
- Not recorded
- Reports combined
- 2
Launch this model
This engine does not yet have an executable serving recipe.
Individual tests
Audio → Text · Speech recognition · fp16 · faster-whisper · asr · audio-sec/sec
Sortable table
| Test date | Throughput | Concurrency / batch | P95 (s) | TTFT (ms) | Observed occupancy (GiB) | GPU power (W) | Decode (tok/s) | Uncached prefill (tok/s) | Parameters | View report |
|---|---|---|---|---|---|---|---|---|---|---|
| 10/14/2026, 6:18:59 AM | 362.48 audio-sec/sec | 4 | — | — | 1.42 | 114.4 | — | Uncached prefill unavailableView report | Parameters ↗ | c0088588 ↗ |
| 10/14/2026, 8:24:13 AM | 365.89 audio-sec/sec | 4 | — | — | 1.44 | 117.2 | — | Uncached prefill unavailableView report | Parameters ↗ | ba5a45ac ↗ |
Recorded test parameters
Configuration 1 · Parameters
- model
- openai/whisper-tiny
- engine
- faster-whisper
- quant
- fp16
- method
- audio-native-v1
- task
- asr
- dataset
- asr_prompts
- context
- asr
- input_tokens
- 0
- output_tokens
- 0
- duration
- 2
- concurrency
- 4
- unit
- audio-sec/sec
- software
- { "torch": "2.14.1", "ctranslate2": "4.8.3", "faster-whisper": "1.2.1", "OMP_NUM_THREADS": "8", "MKL_NUM_THREADS": "8", "OPENBLAS_NUM_THREADS": "8", "NUMEXPR_NUM_THREADS": "8" }
- engine_provenance
- —
- kernel_settings
- —
- precision
- —
- resolution
- —
- performance_task
- —
- performance_scope
- —
- batch_size
- —
- dimensions
- —
- weight_quantization
- —
- max_sequence_length
- —
- model_scope
- —
- performance_dataset
- —
- workload_mode
- —
- graph_mode
- —
- model_revision
- —
- client_version
- python-native-bench-1.1.3