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Embedding · All measured GPUs

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

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

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 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 ↗

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

Use this recipe · Batch 32 ↗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+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

Use this recipe · Batch 32 ↗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+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

Use this recipe · Batch 32 ↗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+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

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 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 ↗

Sortable tables by exact test condition · 15 rows

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s · Batch 1 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	fp16	sentence-transformersPyTorch 2.12.1+cu130	217.92	5 ms	—	2.22	156.5	1	a7d85bcf ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s · Batch 1 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	nf4	sentence-transformersPyTorch 2.12.1+cu130	195.8	5 ms	—	1.61	174.8	1	b9501833 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s · Batch 8 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	fp16	sentence-transformersPyTorch 2.12.1+cu130	1,494.89	5 ms	—	2.22	185.4	1	a7d85bcf ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s · Batch 8 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	nf4	sentence-transformersPyTorch 2.12.1+cu130	1,156.9	7 ms	—	1.61	196	1	b9501833 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s · Batch 32 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	fp16	sentence-transformersPyTorch 2.12.1+cu130	3,616.74	9 ms	—	2.22	206.8	1	a7d85bcf ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s · Batch 32 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	nf4	sentence-transformersPyTorch 2.12.1+cu130	3,091.08	10 ms	—	1.61	207.4	1	b9501833 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX 4090 · 24 GB	fp16	sentence-transformersPyTorch 2.12.1+cu126	258.52	4 ms	—	1.84	151.6	1	3ba3d2cb ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	fp16	sentence-transformersPyTorch 2.12.1+cu130	232.18	5 ms	—	2.22	155	1	65594583 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 1 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	V100-PCIE-32GB · 32 GB	fp16	sentence-transformersPyTorch 2.12.1+cu126	95.33	11 ms	—	1.75	70.8	1	f91802d1 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX 4090 · 24 GB	fp16	sentence-transformersPyTorch 2.12.1+cu126	921.44	4 ms	—	1.84	159.5	1	3ba3d2cb ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 4 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	V100-PCIE-32GB · 32 GB	fp16	sentence-transformersPyTorch 2.12.1+cu126	308.67	13 ms	—	1.75	90.1	1	f91802d1 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 8 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	fp16	sentence-transformersPyTorch 2.12.1+cu130	1,601.21	5 ms	—	2.22	191.2	1	65594583 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX 4090 · 24 GB	fp16	sentence-transformersPyTorch 2.12.1+cu126	2,017.74	8 ms	—	1.84	133	1	3ba3d2cb ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 16 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	V100-PCIE-32GB · 32 GB	fp16	sentence-transformersPyTorch 2.12.1+cu126	771.26	21 ms	—	1.75	99.2	1	f91802d1 ↗

Embedding · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s · Batch 32 · vectors/sec · 1 rows
Model	Hardware	Format	Engine	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
Qwen3-Embedding-0.6B	RTX PRO 6000 Blackwell Server Edition · 96 GB	fp16	sentence-transformersPyTorch 2.12.1+cu130	3,763.07	9 ms	—	2.22	208.7	1	65594583 ↗