A100-SXM4-80GB · 80 GB
Speech recognition · Qualified results
No qualified results yet · Speech recognition · A100-SXM4-80GB · 80 GB
No reports for this task have been recorded here. This does not show that the model or GPU cannot run it.
Measured alternatives on other GPUs
Measured on different GPUs with the same or smaller listed capacity. These are references for choosing hardware, not performance or compatibility evidence for your selected GPU.
whisper-tiny
openai · 6 tested configurations · 3 GPUs
- 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 ↗
Show 2 more GPUs
- V100-PCIE-32GB · 32 GBfp16 · Audio → Text · asr_prompts · Test duration 1 s
- Throughput · Batch 1
- 105audio-sec/sec
- Best measured · Batch 4
- 156audio-sec/sec
- Observed GPU occupancy
- 0.5GiB
- 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+cu126
- 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 104.96 — — 0.51 51.5 1 64035c7b ↗ B4 155.93 — — 0.52 50.1 1 64035c7b ↗ 1 other test configurations on this GPU
- fp16 · Audio → Text · asr_prompts · Test duration 5 s
- Throughput · Batch 1
- 90.9audio-sec/sec
- Best measured · Batch 4
- 132audio-sec/sec
- Observed GPU occupancy
- 0.5GiB
- 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+cu126
- 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 90.94 — — 0.51 51.5 10 e4ef00c1 ↗ B4 132.16 — — 0.52 51.2 10 e4ef00c1 ↗
- vGPU-32GB · 32 GBfp16 · Audio → Text · asr_prompts
- Throughput · Batch 1
- 73.7audio-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 2.13.0+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 73.68 — — 0.38 46.8 1 7d182de2 ↗ B4 68.2 — — 0.38 49.2 1 7d182de2 ↗ 2 other test configurations on this GPU
- fp16 · Audio → Text · asr_prompts · Test duration 4 s
- Throughput · Batch 1
- 122audio-sec/sec
- Best measured · Batch 4
- 168audio-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
- 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 121.9 — — 0.42 73.6 1 7aaa1f0d ↗ B4 168.25 — — 0.42 77.4 1 7aaa1f0d ↗ - fp16 · Audio → Text · asr_prompts · Test duration 1 s
- Throughput · Batch 1
- 137audio-sec/sec
- Best measured · Batch 4
- 205audio-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 2.13.0+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 137.01 — — 0.38 54.3 1 4b83f25d ↗ B4 205.27 — — 0.38 66.3 1 4b83f25d ↗
SenseVoiceSmall
FunAudioLLM · 1 tested configuration · 1 GPU
- RTX 3080 Ti · 12 GBfp16 · Audio → Text · asr_prompts
- Throughput · Batch 1
- 360audio-sec/sec
- Best measured · Batch 2
- 365audio-sec/sec
- Observed GPU occupancy
- 1.3GiB
- 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
- funasr · 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 359.69 — — 1.27 101.7 1 c6b5f31d ↗ B2 364.87 — — 1.27 101.6 1 c6b5f31d ↗
Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.
Original reports
Running benchmarks
0Updates automaticallyNo benchmarks are currently reported as running.
Methodology
Average of error-free runs for the selected recorded configuration. Missing methods and fallback runs are not ranked. Performance index = average / fastest matching hardware × 100. Value index = performance per purchase cost / best comparable value × 100. Quality is separate by dataset and protocol. Prices are dated seller listings, not completed transactions or market averages.
Updated 11/5/2026, 11:57:04 PM