How Slow Local LLMs Are on My Framework 13 AMD Strix Point

Running local LLMs on consumer laptops remains a critical challenge for practitioners seeking privacy-preserving, offline AI inference. This benchmark explores the real-world performance characteristics of local language models on the Framework 13 with AMD Strix Point—a modern, energy-efficient processor designed for mobile workloads.

The analysis provides concrete data on inference speeds, token throughput, and practical trade-offs between model size and responsiveness on this popular developer laptop. For teams evaluating local deployment strategies, understanding how current-generation mobile processors handle LLM inference is essential for determining whether on-device execution is viable for their use cases.

Read the full performance analysis to see detailed benchmarks and recommendations for optimizing local LLM deployments on AMD-based systems.

Source: Hacker News · Relevance: 9/10