12 GB · 4 reports

RTX 3080 Ti · 12 GB

Qualified results first; original reports and full tables stay below.
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Speech recognition · Qualified results

Speeds compare only within one exact test. Recipe availability is checked on each report against the published recipe executor.
  1. SenseVoiceSmall

    iic · 1 tested configuration

    • fp16 · 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 sizeMean throughput (audio-sec/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B1359.69——1.27101.71c6b5f31d ↗
      B2364.87——1.27101.61c6b5f31d ↗
  2. faster-whisper-tiny

    Systran · 1 tested configuration

    • fp16 · 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 sizeMean throughput (audio-sec/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B165.65——0.41134.913f8b97e6 ↗
      B491.84——0.4143.613f8b97e6 ↗

Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

Sortable tables by exact test condition · 4 rows

C: concurrency · B: batch · —: not measured

Scaling curves and individual runs

One model and test protocol per curve; different workloads are never joined into one line.

iic/SenseVoiceSmall · fp16 · funasr · asr · audio-native-v1

Mean throughput audio-sec/sec
Batch size 1: 360 audio-sec/sec; Batch size 2: 365 audio-sec/sec010020130140112Batch size · log₂

Measured points only. Select a point to open its source report.

Mean run P95 latency s

Not measured

Mean GPU memory used GB
Batch size 1: 1.27 GB; Batch size 2: 1.27 GB00.3490.6991.051.412Batch size · log₂

Measured points only. Select a point to open its source report.

Each point is the mean of recorded runs at that level. A source report may differ from the mean; all runs are listed below.

Runs behind the curve · iic/SenseVoiceSmall · audio-sec/sec · 2 rows
Batch sizeThroughputDecode (tok/s)Uncached prefill (tok/s)GPU power (W)TTFT (ms)P95 (s)Observed occupancy (GiB)Test dateView report
1359.69 audio-sec/sec—Uncached prefill unavailableView report101.7——1.2710/8/2026, 12:41:46 AMc6b5f31d ↗
2364.87 audio-sec/sec—Uncached prefill unavailableView report101.6——1.2710/8/2026, 12:41:46 AMc6b5f31d ↗

Original reports

Every report for this task, including quality, diagnostic and legacy runs that do not enter comparisons.
Original reports · 2 rows
ModelTest taskFormatEngineWorkloadProtocolQuality scoreTest date
faster-whisper-tiny ↗Speech recognitionfp16faster-whisperasraudio-native-v1—10/8/2026, 12:41:29 AM
SenseVoiceSmall ↗Speech recognitionfp16funasrasraudio-native-v1—10/8/2026, 12:41:46 AM

Running benchmarks

0Updates automatically

No 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, 11:07:29 PM