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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| Model | LFM2.5-VL-3B |
|---|---|
| Parameters | 3.1B |
| Device | Jetson AGX Orin 32GB Developer Kit |
| Quantization | Q8_0 |
| Image size | 720p |
| Images per camera | 1 |
| Max Cameras (response ≤ 3 s) | 4 |
| Engine | llama.cpp |
| Cameras | Response (s) | TPS (tok/s) | Target |
|---|---|---|---|
| 1 | 1.08 | 39.7 | ≤3 s |
| 2 | 1.35 | 27.2 | ≤3 s |
| 4 | 1.98 | 18.7 | ≤3 s |
| 8 | 8.96 | 18.0 | >3 s |
| Images per request | Response (s) | TPS (tok/s) | Target |
|---|---|---|---|
| 1 | 1.08 | 39.7 | ≤3 s |
| 2 | 2.07 | 39.3 | ≤3 s |
| 4 | 4.02 | 39.4 | >3 s |
| 8 | 7.94 | 38.5 | >3 s |
| 16 | 15.9 | 37.3 | >3 s |
| 32 | 32.7 | 37.5 | >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.
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.