96 GB · 196 reports

RTX PRO 6000 Blackwell Server Edition · 96 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. granite-speech-5.0-470m-turboctc

    ibm-granite · 2 tested configurations

    • Native · Audio → Text · asr_prompts · Test duration 16 s
      Throughput · Batch 1
      2,662audio-sec/sec
      Best measured · Batch 32
      9,194audio-sec/sec
      Observed GPU occupancy
      1.6GiB
      P95 latency
      Not recorded
      Test details · 11 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
      transformers-ctc · PyTorch 2.13.0
      Protocol
      audio-native-v1
      Dataset
      asr_prompts
      Workload
      asr
      Batch sizeMean throughput (audio-sec/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B12,662.33——1.64122.113be7f67e ↗
      B24,844.87——1.67134.913be7f67e ↗
      B46,237.58——1.7514813be7f67e ↗
      B87,907.41——1.9165.113be7f67e ↗
      B169,083.29——2.33194.813be7f67e ↗
      B329,193.57——3.25243.513be7f67e ↗
      B648,622.98——5.09345.513be7f67e ↗
      B1288,355.43——10.145113be7f67e ↗
      B2568,343——20.09477.613be7f67e ↗
      B5128,391.94——40.63492.313be7f67e ↗
      B10248,387.34——80.89501.313be7f67e ↗
    • 1 other test configurations on this GPU
      • Native · Audio → Text · asr_prompts
        Throughput · Batch 1
        3,143audio-sec/sec
        Best measured · Batch 16
        8,581audio-sec/sec
        Observed GPU occupancy
        1.6GiB
        P95 latency
        Not recorded
        Test details · 3 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
        transformers-ctc · PyTorch 2.13.0
        Protocol
        audio-native-v1
        Dataset
        asr_prompts
        Workload
        asr
        Batch sizeMean throughput (audio-sec/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B13,143.16——1.6495.81d77a0cfd ↗
        B88,162.53——1.64105.21d77a0cfd ↗
        B168,581.45——1.92111.91d77a0cfd ↗
  2. whisper-tiny

    openai · 1 tested configuration

    • fp16 · Audio → Text · asr_prompts · Test duration 2 s
      Throughput · Batch 1
      233audio-sec/sec
      Best measured · Batch 4
      364audio-sec/sec
      Observed GPU occupancy
      1.4GiB
      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 2.14.1
      Protocol
      audio-native-v1
      Dataset
      asr_prompts
      Workload
      asr
      Batch sizeMean throughput (audio-sec/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B1232.81——1.42113.52ba5a45ac ↗
      B4364.19——1.43115.82ba5a45ac ↗

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

Sortable tables by exact test condition · 16 rows

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

Speech recognition · Audio → Text · asr_prompts · Test duration 2 s · Batch 1 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
openai/whisper-tinyScaling curves ↗fp16faster-whisperasraudio-native-v1B1232.81234.75——1.42113.5230.872.052 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 2 s · Batch 4 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
openai/whisper-tinyScaling curves ↗fp16faster-whisperasraudio-native-v1B4364.19365.89——1.43115.8362.483.152 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 1 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B12,662.332,662.33——1.64122.12,662.3321.81 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 2 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B24,844.874,844.87——1.67134.94,844.8735.911 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 8 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B87,907.417,907.41——1.9165.17,907.4147.891 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 16 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B169,083.299,083.29——2.33194.89,083.2946.641 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 32 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B329,193.579,193.57——3.25243.59,193.5737.761 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 64 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B648,622.988,622.98——5.09345.58,622.9824.961 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 128 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B1288,355.438,355.43——10.14518,355.4318.531 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 512 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B5128,391.948,391.94——40.63492.38,391.9417.051 ↗
Speech recognition · Audio → Text · asr_prompts · Test duration 16 s · Batch 1024 · audio-sec/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ibm-granite/granite-speech-5.0-470m-turboctcScaling curves ↗Nativetransformers-ctcasraudio-native-v1B10248,387.348,387.34——80.89501.38,387.3416.731 ↗
Scaling curves and individual runs

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

ibm-granite/granite-speech-5.0-470m-turboctc · Native · transformers-ctc · asr · audio-native-v1

Mean throughput audio-sec/sec
Batch size 1: 2,660 audio-sec/sec; Batch size 2: 4,840 audio-sec/sec; Batch size 4: 6,240 audio-sec/sec; Batch size 8: 7,910 audio-sec/sec; Batch size 16: 9,080 audio-sec/sec; Batch size 32: 9,190 audio-sec/sec; Batch size 64: 8,620 audio-sec/sec; Batch size 128: 8,360 audio-sec/sec; Batch size 256: 8,340 audio-sec/sec; Batch size 512: 8,390 audio-sec/sec; Batch size 1024: 8,390 audio-sec/sec02,5305,0607,58010,10012481632641282565121024Batch 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: 1.64 GB; Batch size 2: 1.67 GB; Batch size 4: 1.75 GB; Batch size 8: 1.9 GB; Batch size 16: 2.33 GB; Batch size 32: 3.25 GB; Batch size 64: 5.09 GB; Batch size 128: 10.1 GB; Batch size 256: 20.1 GB; Batch size 512: 40.6 GB; Batch size 1024: 80.9 GB022.244.566.78912481632641282565121024Batch 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 · ibm-granite/granite-speech-5.0-470m-turboctc · audio-sec/sec · 11 rows
Batch sizeThroughputDecode (tok/s)Uncached prefill (tok/s)GPU power (W)TTFT (ms)P95 (s)Observed occupancy (GiB)Test dateView report
12,662.33 audio-sec/sec—Uncached prefill unavailableView report122.13——1.6410/19/2026, 8:09:36 AM3be7f67e ↗
24,844.87 audio-sec/sec—Uncached prefill unavailableView report134.93——1.6710/19/2026, 8:09:36 AM3be7f67e ↗
46,237.58 audio-sec/sec—Uncached prefill unavailableView report148.03——1.7510/19/2026, 8:09:36 AM3be7f67e ↗
87,907.41 audio-sec/sec—Uncached prefill unavailableView report165.1——1.910/19/2026, 8:09:36 AM3be7f67e ↗
169,083.29 audio-sec/sec—Uncached prefill unavailableView report194.77——2.3310/19/2026, 8:09:36 AM3be7f67e ↗
329,193.57 audio-sec/sec—Uncached prefill unavailableView report243.5——3.2510/19/2026, 8:09:36 AM3be7f67e ↗
648,622.98 audio-sec/sec—Uncached prefill unavailableView report345.53——5.0910/19/2026, 8:09:36 AM3be7f67e ↗
1288,355.43 audio-sec/sec—Uncached prefill unavailableView report450.97——10.110/19/2026, 8:09:36 AM3be7f67e ↗
2568,343 audio-sec/sec—Uncached prefill unavailableView report477.57——20.0910/19/2026, 8:09:36 AM3be7f67e ↗
5128,391.94 audio-sec/sec—Uncached prefill unavailableView report492.3——40.6310/19/2026, 8:09:36 AM3be7f67e ↗
10248,387.34 audio-sec/sec—Uncached prefill unavailableView report501.3——80.8910/19/2026, 8:09:36 AM3be7f67e ↗

Original reports

Every report for this task, including quality, diagnostic and legacy runs that do not enter comparisons.
Original reports · 5 rows
ModelTest taskFormatEngineWorkloadProtocolQuality scoreTest date
granite-speech-5.0-470m-turboctc ↗Speech recognitionNativetransformers-ctcasraudio-native-v1—10/19/2026, 8:09:36 AM
granite-speech-5.0-470m-turboctc ↗Speech recognitionNativetransformers-ctcasraudio-native-v1—10/19/2026, 6:57:47 AM
granite-speech-5.0-470m-turboctc ↗Speech recognitionfp16transformers-ctcasraudio-native-v1—10/19/2026, 6:48:01 AM
whisper-tiny ↗Speech recognitionfp16faster-whisperasraudio-native-v1—10/14/2026, 8:24:13 AM
whisper-tiny ↗Speech recognitionfp16faster-whisperasraudio-native-v1—10/14/2026, 6:18:59 AM

Running benchmarks

0Updates automatically

No benchmarks are currently reported as running.

RTX PRO 6000 Blackwell Server Edition · 96 GB · 403 queued · 0 running · 0 awaiting reassignment · 6 succeeded · 3 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, 9:55:22 PM