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Embedding · L4 · 24 GB

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

  1. embeddinggemma-2

    unsloth · 2 tested configurations

    • nf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
      Throughput · Batch 1
      175vectors/sec
      Best measured · Batch 16
      1,650vectors/sec
      Observed GPU occupancy
      0.9GiB
      P95 latency
      6 ms
      Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
      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 2.12.1+cu126
      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
      B1174.956 ms—0.8554.8529b19870 ↗
      B4572.67 ms—0.8558.4529b19870 ↗
      B161,649.6210 ms—0.8560.7529b19870 ↗
    • 1 other test configurations on this GPU
      • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
        Throughput · Batch 1
        177vectors/sec
        Best measured · Batch 16
        2,036vectors/sec
        Observed GPU occupancy
        1GiB
        P95 latency
        6 ms
        Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
        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 2.12.1+cu126
        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
        B1177.216 ms—0.9950.54d74f69cc ↗
        B4648.086 ms—0.9957.14d74f69cc ↗
        B162,035.678 ms—0.9958.14d74f69cc ↗

  2. embeddinggemma-2

    google · 2 tested configurations

    • nf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
      Throughput · Batch 1
      175vectors/sec
      Best measured · Batch 16
      1,639vectors/sec
      Observed GPU occupancy
      0.9GiB
      P95 latency
      6 ms
      Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
      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 2.12.1+cu126
      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
      B1174.886 ms—0.8553.167ad6a821 ↗
      B4571.037 ms—0.855767ad6a821 ↗
      B161,639.0810 ms—0.8559.867ad6a821 ↗
    • 1 other test configurations on this GPU
      • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
        Throughput · Batch 1
        177vectors/sec
        Best measured · Batch 16
        2,039vectors/sec
        Observed GPU occupancy
        1GiB
        P95 latency
        6 ms
        Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
        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 2.12.1+cu126
        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
        B1177.466 ms—0.9949.86e0700e04 ↗
        B4650.166 ms—0.9956.96e0700e04 ↗
        B162,039.178 ms—0.9958.46e0700e04 ↗

  3. granite-embedding-97m-multilingual-r2

    ibm-granite · 1 tested configuration

    • nf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
      Throughput · Batch 1
      792vectors/sec
      Best measured · Batch 16
      8,881vectors/sec
      Observed GPU occupancy
      0.5GiB
      P95 latency
      1 ms
      Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
      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 2.12.1+cu126
      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
      B1791.851 ms—0.5137.41d396c54b ↗
      B42,816.451 ms—0.5137.91d396c54b ↗
      B168,880.862 ms—0.5138.91d396c54b ↗
Sortable tables by exact test condition · 15 rows
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu126174.956 ms—0.8554.8529b19870 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBfp16sentence-transformersPyTorch 2.12.1+cu126177.216 ms—0.9950.54d74f69cc ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu126174.886 ms—0.8553.167ad6a821 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBfp16sentence-transformersPyTorch 2.12.1+cu126177.466 ms—0.9949.86e0700e04 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
granite-embedding-97m-multilingual-r2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu126791.851 ms—0.5137.41d396c54b ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu126572.67 ms—0.8558.4529b19870 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBfp16sentence-transformersPyTorch 2.12.1+cu126648.086 ms—0.9957.14d74f69cc ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu126571.037 ms—0.855767ad6a821 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBfp16sentence-transformersPyTorch 2.12.1+cu126650.166 ms—0.9956.96e0700e04 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
granite-embedding-97m-multilingual-r2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu1262,816.451 ms—0.5137.91d396c54b ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu1261,649.6210 ms—0.8560.7529b19870 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBfp16sentence-transformersPyTorch 2.12.1+cu1262,035.678 ms—0.9958.14d74f69cc ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu1261,639.0810 ms—0.8559.867ad6a821 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
embeddinggemma-2L4 · 24 GBfp16sentence-transformersPyTorch 2.12.1+cu1262,039.178 ms—0.9958.46e0700e04 ↗
Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
ModelHardwareFormatEngineMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
granite-embedding-97m-multilingual-r2L4 · 24 GBnf4sentence-transformersPyTorch 2.12.1+cu1268,880.862 ms—0.5138.91d396c54b ↗