VLM Inference Benchmark Explorer

Granite-Vision-4.1-4B on Jetson AGX Orin 32GB Developer Kit — Q8_0, llama.cpp vision-language inference benchmark

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ModelGranite-Vision-4.1-4B
Parameters4.0B
DeviceJetson AGX Orin 32GB Developer Kit
QuantizationQ8_0
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)4
Enginellama.cpp
CamerasResponse (s)TPS (tok/s)Target
11.8728.8≤3 s
21.9913.3≤3 s
42.6612.2≤3 s
812.614.7>3 s
Images per requestResponse (s)TPS (tok/s)Target
11.8728.8≤3 s
23.7128.4>3 s
47.4926.8>3 s
815.623.9>3 s
1634.319.4>3 s
32——Failed

Granite-Vision-4.1-4B (4.0B 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 1.87 s, then writes 28.8 tok/s.

With 16 images per camera at 720p, the answer starts after 34.31 s. With one 2K image, after 2.04 s.

At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 4 cameras at once.