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Embedding · RTX 4090 · 24 GB
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embeddinggemma-2
google · 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
- 1,639vectors/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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 174.88 6 ms — 0.85 53.1 6 7ad6a821 ↗ B4 571.03 7 ms — 0.85 57 6 7ad6a821 ↗ B16 1,639.08 10 ms — 0.85 59.8 6 7ad6a821 ↗ 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 177.46 6 ms — 0.99 49.8 6 e0700e04 ↗ B4 650.16 6 ms — 0.99 56.9 6 e0700e04 ↗ B16 2,039.17 8 ms — 0.99 58.4 6 e0700e04 ↗
Show 1 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 90.02 11 ms — 0.75 54.6 2 43c67a74 ↗ B4 303.35 13 ms — 0.75 60.1 2 43c67a74 ↗ B16 814.64 20 ms — 0.75 64.1 2 43c67a74 ↗ 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 108.65 9 ms — 0.89 49.3 2 2846de88 ↗ B4 365.65 11 ms — 0.89 57.9 2 2846de88 ↗ B16 1,004.11 16 ms — 0.89 63.9 2 2846de88 ↗