Qwen3.5-9B on DGX Spark — BF16, vLLM vision-language inference benchmark

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Model	Qwen3.5-9B
Parameters	9.7B
Device	DGX Spark
Quantization	BF16
Image size	720p
Images per camera	1
Max Cameras (response ≤ 3 s)	16
Engine	vLLM

Cameras	Response (s)	TPS (tok/s)	Target
1	0.33	12.9	≤3 s
2	0.55	13.8	≤3 s
4	0.90	13.4	≤3 s
8	1.36	12.4	≤3 s
16	2.36	10.5	≤3 s
32	3.70	7.8	>3 s
64	6.33	5.2	>3 s
96	9.04	3.9	>3 s
104	—	—	Failed

Images per request	Response (s)	TPS (tok/s)	Target
1	0.33	12.9	≤3 s
2	0.63	12.9	≤3 s
4	1.23	12.9	≤3 s
8	2.45	12.8	≤3 s
16	4.97	12.6	>3 s
32	10.2	12.3	>3 s
64	22.0	11.7	>3 s
128	49.6	10.8	>3 s
256	—	—	Failed

Qwen3.5-9B (9.7B parameters), served in BF16 format with vLLM on DGX Spark, starts answering a single camera that sends one 720p image after 0.33 s, then writes 12.9 tok/s.

With 128 images per camera at 720p, the answer starts after 49.58 s. With one 2K image, after 2.11 s.

At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 16 cameras at once.