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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| Model | Granite-Vision-4.1-4B |
|---|---|
| Parameters | 4.0B |
| 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 | 1.87 | 28.8 | ≤3 s |
| 2 | 1.99 | 13.3 | ≤3 s |
| 4 | 2.66 | 12.2 | ≤3 s |
| 8 | 12.6 | 14.7 | >3 s |
| Images per request | Response (s) | TPS (tok/s) | Target |
|---|---|---|---|
| 1 | 1.87 | 28.8 | ≤3 s |
| 2 | 3.71 | 28.4 | >3 s |
| 4 | 7.49 | 26.8 | >3 s |
| 8 | 15.6 | 23.9 | >3 s |
| 16 | 34.3 | 19.4 | >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.
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.