Skip to content
m.recipes
Find a configuration
Sign in
24 GB · 111 reports

L4 · 24 GB

Qualified results first; original reports and full tables stay below.
Reset

Speech recognition · Qualified results

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

No qualified results yet · Speech recognition · L4 · 24 GB

No reports for this task have been recorded here. This does not show that the model or GPU cannot run it.

Check model launch supportMeasured alternatives for this taskTest your own GPU

Qualified results for other tasks: Text generation (2) · Embedding (3)

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.

  1. 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
      Evidence report and run availability ↗Same test on other GPUs
      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 ↗

  2. 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
      Evidence report and run availability ↗Same test on other GPUs
      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 ↗

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

Original reports

Every report for this task, including quality, diagnostic and legacy runs that do not enter comparisons.
Original reports · 0 rows
ModelTest taskFormatEngineWorkloadProtocolQuality scoreTest date
No matching results

Running benchmarks

0Updates automatically

No benchmarks are currently reported as running.

L4 · 24 GB · 91 queued · 0 running · 0 awaiting reassignment · 22 succeeded · 7 failed or exhausted

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, 9:51:21 PM