VLM Inference Benchmark Explorer

Qwen3.6-27B on Jetson AGX Orin 32GB Developer Kit — Q4_K_M, llama.cpp vision-language inference benchmark

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ModelQwen3.6-27B
Parameters27B
DeviceJetson AGX Orin 32GB Developer Kit
QuantizationQ4_K_M
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)>3 s
Enginellama.cpp
CamerasResponse (s)TPS (tok/s)Target
15.687.3>3 s
211.36.5>3 s
421.15.1>3 s
860.85.3>3 s
Images per requestResponse (s)TPS (tok/s)Target
15.687.3>3 s
211.07.2>3 s
421.67.1>3 s
842.97.0>3 s
1686.76.6>3 s
32184.36.1>3 s

Qwen3.6-27B (27B parameters), served in Q4_K_M format with llama.cpp on Jetson AGX Orin 32GB Developer Kit, starts answering a single camera that sends one 720p image after 5.68 s, then writes 7.3 tok/s.

With 32 images per camera at 720p, the answer starts after 184.29 s. With one 1080p image, after 14.11 s.

At the default target of an answer starting within 3 s (720p, one image per camera), not even one camera is answered in time.