Qwen3.5-9B on Jetson AGX Orin 32GB Developer Kit — Q8_0, llama.cpp vision-language inference benchmark

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Model	Qwen3.5-9B
Parameters	9.7B
Device	Jetson AGX Orin 32GB Developer Kit
Quantization	Q8_0
Image size	720p
Images per camera	1
Max Cameras (response ≤ 3 s)	1
Engine	llama.cpp

Cameras	Response (s)	TPS (tok/s)	Target
1	2.75	17.6	≤3 s
2	4.25	14.4	>3 s
4	9.36	12.4	>3 s
8	27.0	13.3	>3 s

Images per request	Response (s)	TPS (tok/s)	Target
1	2.75	17.6	≤3 s
2	5.34	17.6	>3 s
4	10.4	17.4	>3 s
8	20.6	17.0	>3 s
16	41.4	16.4	>3 s
32	84.0	15.2	>3 s

Qwen3.5-9B (9.7B parameters), served in Q8_0 format with llama.cpp on Jetson AGX Orin 32GB Developer Kit, starts answering a single camera that sends one 720p image after 2.75 s, then writes 17.6 tok/s.

With 32 images per camera at 720p, the answer starts after 83.97 s. With one 2K image, after 20.19 s.

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