community pool / model answer
gemma-4-26B-A4B-it-GGUF
chat · unsloth/gemma-4-26B-A4B-it-GGUF
89.9 tok/s · model median · 66 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| Arc Pro B70 32GB | 8-bit | 97.6 tok/s | measured | 602 | - GB | 32,768 | llama.cpp |
| GB10 Grace Blackwell 128GB | 4-bit | 50.7 tok/s | reported | - | - GB | 262,144 | llama.cpp |
| GB10 Grace Blackwell 128GB | 8-bit | 38.8 tok/s | reported | - | - GB | 262,144 | llama.cpp |
| M5 Pro 24GB | 4-bit | 55 tok/s | reported | 446 | - GB | 4,224 | llama.cpp |
| Minisforum UM790 Pro 64GB | 4-bit | 19.5 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| Radeon RX 7900 XTX 24GB | 4-bit | 94.3 tok/s | reported | - | 15.3 GB | 640 | llama.cpp |
| RTX 3060 12GB ×2 | 4-bit | 68.2 tok/s | measured | 2,495 | 18.6 GB | 131,072 | llama.cpp |
| RTX 5060 Ti 16GB | 3-bit | 103.4 tok/s | reported | 148 | - GB | 2,048 | llama.cpp |
| RTX 5090 32GB | 3-bit | 255.7 tok/s | reported | 41 | - GB | 2,048 | llama.cpp |
| Ryzen AI Max 395 64GB | 4-bit | 49.2 tok/s | reported | 1,004 | 17.8 GB | 8,192 | 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.