LLM Inference Benchmarks on RK3588: Latency, Throughput, and Memory Across GGUF Quantization Levels
If you’ve already deployed Ollama or llama.cpp on an RK1 node, getting an LLM running is no longer the challenge. The harder question is whether you’re running it efficiently. Should you choose Q4_K_M or Q8_0? How much generation speed do you lose as model size increases? And how much memory does each quantization actually consume […]