VLM Inference Benchmark Explorer

GLM-4.6V-Flash on Jetson Orin NX 16GB — Q4_K_M, llama.cpp vision-language inference benchmark

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ModelGLM-4.6V-Flash
Parameters10B
DeviceJetson Orin NX 16GB
QuantizationQ4_K_M
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)>3 s
Enginellama.cpp
CamerasResponse (s)TPS (tok/s)Target
16.959.7>3 s
27.956.6>3 s
432.36.3>3 s
876.36.4>3 s
Images per requestResponse (s)TPS (tok/s)Target
16.959.7>3 s
214.09.3>3 s
428.38.5>3 s
858.57.3>3 s
16124.45.6>3 s
32——Failed

GLM-4.6V-Flash (10B parameters), served in Q4_K_M format with llama.cpp on Jetson Orin NX 16GB, starts answering a single camera that sends one 720p image after 6.95 s, then writes 9.7 tok/s.

With 16 images per camera at 720p, the answer starts after 124.36 s. With one 2K image, after 39.02 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.