VLM Inference Benchmark Explorer
Cosmos-Reason2-2B on Jetson Orin NX — Q8_0, llama.cpp vision-language inference benchmark
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| Model | Cosmos-Reason2-2B |
|---|---|
| Parameters | 2.4B |
| Device | Jetson Orin NX |
| Quantization | Q8_0 |
| Image size | 720p |
| Images per camera | 1 |
| Max Cameras (response ≤ 3 s) | 2 |
| Engine | llama.cpp |
| Cameras | Response (s) | TPS (tok/s) | Status |
|---|---|---|---|
| 1 | 2.02 | 30.4 | PASS |
| 2 | 2.34 | 19.4 | PASS |
| 4 | 4.74 | 14.8 | FAIL |
Cosmos-Reason2-2B (2.4B parameters), served in Q8_0 format with llama.cpp on Jetson Orin NX, starts answering a single camera that sends one 720p image after 2.02 s, then writes 30.4 tok/s.
With 5 images per camera at 720p, the answer starts after 9.94 s. With one 1080p image, after 5.45 s.
At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 2 cameras at once.
Cosmos-Reason2-2B (2.4B parameters), served in Q8_0 format with llama.cpp on Jetson Orin NX, starts answering a single camera that sends one 720p image after 2.02 s, then writes 30.4 tok/s.
With 5 images per camera at 720p, the answer starts after 9.94 s. With one 1080p image, after 5.45 s.
At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 2 cameras at once.