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Embedding · Apple M2 Max GPU (38-core) · 48 GB
No qualified results yet · Embedding · Apple M2 Max GPU (38-core) · 48 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.
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 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 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 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 ↗
- 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 251.11 4 ms — 1.05 99.4 1 f489c748 ↗ B4 924.83 4 ms — 1.05 111.5 1 f489c748 ↗ B16 2,710.19 6 ms — 1.05 114.9 1 f489c748 ↗ 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 38.33 31 ms — 0.82 50.5 4 2c17d254 ↗ B4 138.64 33 ms — 0.82 54.2 4 2c17d254 ↗ - 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 38.8 27 ms — 0.82 48.8 1 dc5960cd ↗ B4 141.65 29 ms — 0.82 52.4 1 dc5960cd ↗ B16 553.54 30 ms — 0.87 56.4 1 dc5960cd ↗ B64 1,766.47 38 ms — 1.03 65.3 1 dc5960cd ↗ - 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 38.27 32 ms — 0.82 48.6 1 47f71b64 ↗ B4 137.82 35 ms — 0.82 51.9 1 47f71b64 ↗ - 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 39.4 26 ms — — — 1 2c97c869 ↗ B4 119.85 44 ms — — — 1 2c97c869 ↗
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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 174.95 6 ms — 0.85 54.8 5 29b19870 ↗ B4 572.6 7 ms — 0.85 58.4 5 29b19870 ↗ B16 1,649.62 10 ms — 0.85 60.7 5 29b19870 ↗ 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 177.21 6 ms — 0.99 50.5 4 d74f69cc ↗ B4 648.08 6 ms — 0.99 57.1 4 d74f69cc ↗ B16 2,035.67 8 ms — 0.99 58.1 4 d74f69cc ↗
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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 90.07 11 ms — 0.75 56.2 2 2f9465c4 ↗ B4 302.9 13 ms — 0.75 61.5 2 2f9465c4 ↗ B16 809.43 20 ms — 0.75 64 2 2f9465c4 ↗ 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 size Mean throughput (vectors/sec) P95 TTFT Observed occupancy (GiB) GPU power (W) Reports combined View report B1 108.76 9 ms — 0.89 50.3 2 cfe051ff ↗ B4 365.82 11 ms — 0.89 58.1 2 cfe051ff ↗ B16 1,002.27 16 ms — 0.89 63.9 2 cfe051ff ↗