Practical Gemma 4 Benchmarking with LM Studio

Short summary

Hands-on guide to benchmarking Gemma 4 models locally with LM Studio, covering GPU offloading, quantization levels, and performance optimization on consumer hardware like the RTX 5080 laptop GPU.

• •Explains practical reasons for running local AI models: privacy, offline capability, control over tooling, and improving accessibility
• •Provides detailed hardware specifications and terminology (GGUF, quantization, GPU offload, KV cache) needed to understand model performance
• •Demonstrates concrete benchmarking approach using tools like LM Studio, PowerShell, and Fastfetch on consumer-grade gaming laptop

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