Gemma 4 8B E4B

User reports 21.16 t/s generation and 568.54 t/s prompt processing. Source evidence (verbatim): Source: https://blog.majid.info/llama-bench/ai-x1-pro.txt # AMD Ryzen AI 9 HX 370 / Radeon 890M, 96GB system RAM: original Gemma4 E4B Q4_K_M llama-bench log First-hand author log linked from https://blog.majid.info/llama-bench/ (April 13, 2026 article). Measured hardware: AMD Ryzen AI 9 HX 370 / Radeon 890M, 96GB system RAM. Gemma4 E4B Q4_K_M GGUF, llama.cpp 69c28f1 (1), backend ROCm. pp512 568.54 ±1.96 tokens/s; tg128 21.16 ±0.03 tokens/s. gfx1150; ngl99; runtime reports 47072 MiB device VRAM visibility; integrated unified memory, not dedicated VRAM or measured resident use. Command names --hf-repo unsloth/gemma-4-E4B-it-GGUF; exact tested quantization repository https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF ; tested revision unknown. Log reports 4.62 GiB model size and 7.52B counted parameters; size is not resident memory. Context depth, KV quantization, measured power, driver version and explicit speculation/concurrency declarations unreported. Raw source: https://blog.majid.info/llama-bench/ai-x1-pro.txt .