VLM Inference Benchmark Explorer

LFM2.5-VL-3B on Jetson AGX Orin 32GB Developer Kit — Q8_0, llama.cpp vision-language inference benchmark

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ModelLFM2.5-VL-3B
Parameters3.1B
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
11.0839.7≤3 s
21.3527.2≤3 s
41.9818.7≤3 s
88.9618.0>3 s
Images per requestResponse (s)TPS (tok/s)Target
11.0839.7≤3 s
22.0739.3≤3 s
44.0239.4>3 s
87.9438.5>3 s
1615.937.3>3 s
3232.737.5>3 s

LFM2.5-VL-3B (3.1B 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 1.08 s, then writes 39.7 tok/s.

With 32 images per camera at 720p, the answer starts after 32.66 s. With one 2K image, after 3.11 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.