RTX PRO 6000 Blackwell Workstation Edition · 96 GB
Embedding · Qualified results
No qualified results yet · Embedding · RTX PRO 6000 Blackwell Workstation Edition · 96 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.
Qwen3-Embedding-0.6B
Qwen · 5 tested configurations · 3 GPUs
- RTX 4090 · 24 GBfp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
- Throughput · Batch 1
- 259vectors/sec
- Best measured · Batch 16
- 2,018vectors/sec
- Observed GPU occupancy
- 1.8GiB
- 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 2.12.1+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 258.52 4 ms — 1.84 151.6 1 3ba3d2cb ↗ B4 921.44 4 ms — 1.84 159.5 1 3ba3d2cb ↗ B16 2,017.74 8 ms — 1.84 133 1 3ba3d2cb ↗
Show 2 more GPUs
- RTX PRO 6000 Blackwell Server Edition · 96 GBfp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
- Throughput · Batch 1
- 232vectors/sec
- Best measured · Batch 32
- 3,763vectors/sec
- Observed GPU occupancy
- 2.2GiB
- P95 latency
- 5 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+cu130
- 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 232.18 5 ms — 2.22 155 1 65594583 ↗ B8 1,601.21 5 ms — 2.22 191.2 1 65594583 ↗ B32 3,763.07 9 ms — 2.22 208.7 1 65594583 ↗ 2 other test configurations on this GPU
- fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s
- Throughput · Batch 1
- 218vectors/sec
- Best measured · Batch 32
- 3,617vectors/sec
- Observed GPU occupancy
- 2.2GiB
- P95 latency
- 5 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+cu130
- 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 217.92 5 ms — 2.22 156.5 1 a7d85bcf ↗ B8 1,494.89 5 ms — 2.22 185.4 1 a7d85bcf ↗ B32 3,616.74 9 ms — 2.22 206.8 1 a7d85bcf ↗ - nf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s
- Throughput · Batch 1
- 196vectors/sec
- Best measured · Batch 32
- 3,091vectors/sec
- Observed GPU occupancy
- 1.6GiB
- P95 latency
- 5 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+cu130
- 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 195.8 5 ms — 1.61 174.8 1 b9501833 ↗ B8 1,156.9 7 ms — 1.61 196 1 b9501833 ↗ B32 3,091.08 10 ms — 1.61 207.4 1 b9501833 ↗
- V100-PCIE-32GB · 32 GBfp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
- Throughput · Batch 1
- 95.3vectors/sec
- Best measured · Batch 16
- 771vectors/sec
- Observed GPU occupancy
- 1.7GiB
- 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 95.33 11 ms — 1.75 70.8 1 f91802d1 ↗ B4 308.67 13 ms — 1.75 90.1 1 f91802d1 ↗ B16 771.26 21 ms — 1.75 99.2 1 f91802d1 ↗
Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.
Original reports
Running benchmarks
0Updates automaticallyNo 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 11/6/2026, 3:45:35 PM