llamaperf

Gemma 4 12B

on Intel Arc A770 16GB · llama.cpp · 128,000 ctx

Tone: positiveIntel hardware
Oct 26, 2026
Throughput
20.0 t/s gen · 1100.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
QAT
KV cache
Q8
VRAM reported
16 GB

Use cases

multilingualrp

Summary

User reports Gemma 4 12B QAT at 20 t/s decode and 1100 t/s prefill on a single Intel Arc A770 16GB. Setup is llama.cpp with QAT weights, Q8 KV cache and a Q4 MTP head, giving 128k context with about 5GB VRAM headroom; the card is in a 13-year-old Haswell desktop with under 6GB RAM headroom. Four models run together at 14-15GB VRAM via llama-swap, with LiteLLM routing prompts through Laya to thinking and non-thinking aliases of the 12B. The user notes SYCL/llama.cpp lacks Alchemist optimizations, making the A770 the bottleneck, and that GPU-resident models still use 4-5GB of system RAM as compute buffer.