80 GB · 1 reports

H100 80GB HBM3 · 80 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.

No qualified results yet · Embedding · H100 80GB HBM3 · 80 GB

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

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. embeddinggemma-2

    google · 9 tested configurations · 3 GPUs

    • L4 · 24 GBnf4 · 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
      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
        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 ↗
    Show 2 more GPUs
    • T4 · 16 GBnf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
      Throughput · Batch 1
      90vectors/sec
      Best measured · Batch 16
      815vectors/sec
      Observed GPU occupancy
      0.7GiB
      P95 latency
      11 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 2.12.1+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
      B190.0211 ms—0.7554.6243c67a74 ↗
      B4303.3513 ms—0.7560.1243c67a74 ↗
      B16814.6420 ms—0.7564.1243c67a74 ↗
    • 1 other test configurations on this GPU
      • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
        Throughput · Batch 1
        109vectors/sec
        Best measured · Batch 16
        1,004vectors/sec
        Observed GPU occupancy
        0.9GiB
        P95 latency
        9 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 2.12.1+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
        B1108.659 ms—0.8949.322846de88 ↗
        B4365.6511 ms—0.8957.922846de88 ↗
        B161,004.1116 ms—0.8963.922846de88 ↗
    • vGPU-32GB · 32 GBbf16 · 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 ↗
    • 4 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
        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 ↗
      • 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 ↗
      • 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 ↗
  2. embeddinggemma-2

    unsloth · 4 tested configurations · 2 GPUs

    • L4 · 24 GBnf4 · 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
      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
        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 ↗
    Show 1 more GPUs
    • T4 · 16 GBnf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
      Throughput · Batch 1
      90.1vectors/sec
      Best measured · Batch 16
      809vectors/sec
      Observed GPU occupancy
      0.7GiB
      P95 latency
      11 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 2.12.1+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
      B190.0711 ms—0.7556.222f9465c4 ↗
      B4302.913 ms—0.7561.522f9465c4 ↗
      B16809.4320 ms—0.756422f9465c4 ↗
    • 1 other test configurations on this GPU
      • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
        Throughput · Batch 1
        109vectors/sec
        Best measured · Batch 16
        1,002vectors/sec
        Observed GPU occupancy
        0.9GiB
        P95 latency
        9 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 2.12.1+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
        B1108.769 ms—0.8950.32cfe051ff ↗
        B4365.8211 ms—0.8958.12cfe051ff ↗
        B161,002.2716 ms—0.8963.92cfe051ff ↗

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.

Running benchmarks

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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