32 GB · 53 reports

vGPU-32GB · 32 GB

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

Speeds compare only within one exact test. Recipe availability is checked on each report against the published recipe executor.
  1. embeddinggemma-2

    google · 2 tested configurations

    • bf16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 9 s
      Throughput · Batch 1
      251vectors/sec
      Best measured · Batch 16
      2,710vectors/sec
      Observed GPU occupancy
      1GiB
      P95 latency
      4 ms
      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
      sentence-transformers · PyTorch 2.13.0+cu130
      Protocol
      native-forward-v1
      Dataset
      embedding-mteb-tasks-v1
      Workload
      embedding
      Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B1251.114 ms—1.0599.41f489c748 ↗
      B4924.834 ms—1.05111.51f489c748 ↗
      B162,710.196 ms—1.05114.91f489c748 ↗
    • 1 other test configurations on this GPU
      • bf16 · Text → Vectors · embedding-sanity-v1 · Test duration 12 s
        Throughput · Batch 1
        38.8vectors/sec
        Best measured · Batch 64
        1,766vectors/sec
        Observed GPU occupancy
        0.8GiB
        P95 latency
        27 ms
        Test details · 4 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
        sentence-transformers · PyTorch 2.13.0+cu130
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B138.827 ms—0.8248.81dc5960cd ↗
        B4141.6529 ms—0.8252.41dc5960cd ↗
        B16553.5430 ms—0.8756.41dc5960cd ↗
        B641,766.4738 ms—1.0365.31dc5960cd ↗
  2. embeddinggemma-2

    ms:google · 3 tested configurations

    • bf16 · Text → Vectors · embedding-sanity-v1 · Test duration 6 s
      Throughput · Batch 1
      38.3vectors/sec
      Best measured · Batch 4
      139vectors/sec
      Observed GPU occupancy
      0.8GiB
      P95 latency
      31 ms
      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
      sentence-transformers · PyTorch 2.13.0+cu130
      Protocol
      native-forward-v1
      Dataset
      embedding-sanity-v1
      Workload
      embedding
      Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B138.3331 ms—0.8250.542c17d254 ↗
      B4138.6433 ms—0.8254.242c17d254 ↗
    • 2 other test configurations on this GPU
      • bf16 · Text → Vectors · embedding-sanity-v1 · Test duration 6 s
        Throughput · Batch 1
        38.3vectors/sec
        Best measured · Batch 4
        138vectors/sec
        Observed GPU occupancy
        0.8GiB
        P95 latency
        32 ms
        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
        sentence-transformers
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B138.2732 ms—0.8248.6147f71b64 ↗
        B4137.8235 ms—0.8251.9147f71b64 ↗
      • bf16 · Text → Vectors · embedding-sanity-v1
        Throughput · Batch 1
        39.4vectors/sec
        Best measured · Batch 4
        120vectors/sec
        Observed GPU occupancy
        Not recorded
        P95 latency
        26 ms
        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
        sentence-transformers
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B139.426 ms———12c97c869 ↗
        B4119.8544 ms———12c97c869 ↗

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

Sortable tables by exact test condition · 13 rows

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

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 9 s · Batch 1 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B1251.11251.11—0.0041.0599.4251.112.531 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 9 s · Batch 4 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B4924.83924.83—0.0041.05111.5924.838.291 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 9 s · Batch 16 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B162,710.192,710.19—0.0061.05114.92,710.1923.581 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 6 s · Batch 1 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ms:google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B138.3340.57—0.0310.8250.536.180.764 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 6 s · Batch 1 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ms:google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B138.2738.27—0.0320.8248.638.270.791 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 6 s · Batch 4 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ms:google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B4138.64140.72—0.0330.8254.2134.592.564 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 6 s · Batch 4 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
ms:google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B4137.82137.82—0.0350.8251.9137.822.661 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 12 s · Batch 1 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B138.838.8—0.0270.8248.838.80.791 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 12 s · Batch 4 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B4141.65141.65—0.0290.8252.4141.652.71 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 12 s · Batch 16 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B16553.54553.54—0.030.8756.4553.549.821 ↗
Embedding · Text → Vectors · embedding-sanity-v1 · Test duration 12 s · Batch 64 · vectors/sec · 1 rows
ModelFormatEngineWorkloadConcurrency / batchMean throughputBest measuredTTFT (ms)P95 (s)Observed occupancy (GiB)GPU power (W)Lowest measuredThroughput / WReports combined
google/embeddinggemma-2Scaling curves ↗bf16sentence-transformersembeddingnative-forward-v1B641,766.471,766.47—0.0381.0365.31,766.4727.071 ↗
Scaling curves and individual runs

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

ms:google/embeddinggemma-2 · bf16 · sentence-transformers · embedding · native-forward-v1

Mean throughput vectors/sec
Batch size 1: 38.3 vectors/sec; Batch size 4: 139 vectors/sec038.176.311415314Batch size · log₂

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

Mean run P95 latency s
Batch size 1: 0.0312 s; Batch size 4: 0.0331 s00.009110.01820.02730.036414Batch size · log₂

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

Mean GPU memory used GB
Batch size 1: 0.82 GB; Batch size 4: 0.82 GB00.2260.4510.6770.90214Batch 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 · ms:google/embeddinggemma-2 · vectors/sec · 8 rows
Batch sizeThroughputDecode (tok/s)Uncached prefill (tok/s)GPU power (W)TTFT (ms)P95 (s)Observed occupancy (GiB)Test dateView report
140.57 vectors/sec—Uncached prefill unavailableView report47.42—0.0260.8210/7/2026, 12:50:28 PM2c17d254 ↗
138.7 vectors/sec—Uncached prefill unavailableView report55.11—0.0270.8210/7/2026, 11:13:47 AMe08b7488 ↗
137.85 vectors/sec—Uncached prefill unavailableView report49.96—0.0280.8210/7/2026, 11:10:25 AMbfa15f25 ↗
136.18 vectors/sec—Uncached prefill unavailableView report49.42—0.0440.8210/7/2026, 10:43:37 AM42d5a805 ↗
4139.74 vectors/sec—Uncached prefill unavailableView report52.4—0.040.8210/7/2026, 12:50:28 PM2c17d254 ↗
4140.72 vectors/sec—Uncached prefill unavailableView report58.95—0.0290.8210/7/2026, 11:13:47 AMe08b7488 ↗
4134.59 vectors/sec—Uncached prefill unavailableView report53.52—0.0350.8210/7/2026, 11:10:25 AMbfa15f25 ↗
4139.52 vectors/sec—Uncached prefill unavailableView report52.1—0.0290.8210/7/2026, 10:43:37 AM42d5a805 ↗

Original reports

Every report for this task, including quality, diagnostic and legacy runs that do not enter comparisons.
Original reports · 9 rows
ModelTest taskFormatEngineWorkloadProtocolQuality scoreTest date
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/8/2026, 9:01:22 AM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/8/2026, 3:35:39 AM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/7/2026, 12:50:28 PM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/7/2026, 11:13:47 AM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/7/2026, 11:10:25 AM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/7/2026, 10:43:37 AM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/7/2026, 10:21:19 AM
embeddinggemma-2 ↗Embeddingbf16sentence-transformersembeddingnative-forward-v1—10/7/2026, 9:34:33 AM
WeMM-Embedding-2B ↗Embeddingbf16vllmembeddingwbench-http—10/8/2026, 10:09:56 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