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Benchmarking Meta Llama 4 Scout on CPU-Only Systems: Performance, Quantization, and Architecture Tuning
Meta’s Llama 4 Scout, released in April 2025, is a 17-billion parameter general-purpose language model that brings powerful reasoning to a broader range of applications—including those running without GPUs. This blog focuses on benchmarking Llama 4 Scout on CPU-only systems, covering: Tokens per second Latency per token Prompt handling efficiency Quantization techniques Architecture-specific optimization for x86, ARM, and RISC-V (RV64) Converting to GGUF format for efficient
Rajeev Gadgil
May 26, 20253 min read
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