VLM Inference Benchmark Explorer
Gemma-4-E4B-it on Jetson AGX Orin 32GB — Q4_0, llama.cpp vision-language inference benchmark
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| Model | Gemma-4-E4B-it |
|---|---|
| Parameters | 8.0B |
| Device | Jetson AGX Orin 32GB |
| Quantization | Q4_0 |
| Image size | 720p |
| Images per camera | 1 |
| Max Cameras (response ≤ 3 s) | 4 |
| Engine | llama.cpp |
| Cameras | Response (s) | TPS (tok/s) | Status |
|---|---|---|---|
| 1 | 0.86 | 34.2 | PASS |
| 2 | 1.36 | 32.4 | PASS |
| 4 | 2.69 | 19.2 | PASS |
| 8 | 4.91 | 16.9 | FAIL |
Gemma-4-E4B-it (8.0B parameters), served in Q4_0 format with llama.cpp on Jetson AGX Orin 32GB, starts answering a single camera that sends one 720p image after 0.86 s, then writes 34.2 tok/s.
With 5 images per camera at 720p, the answer starts after 3.58 s. With one 2K image, after 2.55 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.
Gemma-4-E4B-it (8.0B parameters), served in Q4_0 format with llama.cpp on Jetson AGX Orin 32GB, starts answering a single camera that sends one 720p image after 0.86 s, then writes 34.2 tok/s.
With 5 images per camera at 720p, the answer starts after 3.58 s. With one 2K image, after 2.55 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.