community pool / model answer
gemma-4-E2B-it
chat · google/gemma-4-E2B-it
107 tok/s · model median · 15 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| AMD Ryzen 7 8745H w/ Radeon 780M | 4-bit | 47.4 tok/s | reported | 485 | 2.5 GB | 32,768 | llama.cpp |
| Intel(R) Core(TM) Ultra 7 155H | 4-bit | 27.6 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| Qualcomm Snapdragon 888 ARM64 | 4-bit | 6.2 tok/s | reported | 10,000 | 6 GB | 1,306 | llama.cpp |
| GTX 1060 3GB | 4-bit | 48.2 tok/s | reported | 8,399 | - GB | 2,048 | llama.cpp |
| Radeon AI Pro R9700 32GB | 8-bit | 169.7 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| Radeon AI Pro R9700 57GB | 4-bit | 47.4 tok/s | reported | 493 | - GB | 2,048 | llama.cpp |
| RTX 3060 12GB | 4-bit | 133.4 tok/s | reported | 112 | 3.8 GB | 4,096 | llama.cpp |
| RX 570 4GB ×2 | 2-bit | 16 tok/s | reported | 246 | - GB | 2,048 | llama.cpp |
| RX 5700 8GB | 4-bit | 73.1 tok/s | reported | - | 3 GB | 2,048 | llama.cpp |
| Ryzen AI Max 395 128GB | 4-bit | 107 tok/s | measured | - | 8.5 GB | 32,768 | llama.cpp |
| Ultra 7 155H 32GB | 4-bit | 28 tok/s | reported | - | - GB | 2,048 | llama.cpp |
Context tested
The table above is the tested context for each exact rig and quantization cell. Empty fields remain empty rather than being filled with an estimate.