Strix Halo Performance Benchmarks: Minimax M2.5, Step 3.5 Flash, Qwen3 Coder

The local LLM community now has concrete performance data comparing newly released compact models on AMD's Strix Halo processors. Comprehensive llama.cpp benchmarks tested multiple quantization levels of Minimax M2.5, Step 3.5 Flash, and Qwen3 Coder Next, providing essential guidance for developers working within strict memory constraints.

These benchmarks are particularly valuable because Strix Halo represents the cutting edge of consumer processor capabilities for local inference, and many practitioners need to understand real-world trade-offs between model capability and inference speed. The data helps answer critical questions: which models deliver the best quality-to-speed ratio at aggressive quantization levels, and how much performance is lost when moving from higher to lower bit depths.

For developers deploying models on laptops, edge devices, or resource-limited environments, these benchmarks provide concrete evidence for model selection. The results can inform decisions about whether to use larger models with aggressive quantization or smaller models with higher precision, ultimately optimizing the balance between capability and hardware requirements.

Source: r/LocalLLaMA · Relevance: 8/10