How Much Faster Local AI with GPU Overclocking (Tested)

Want higher tokens-per-second (t/s) for your local AI models? In gaming, overclocking your GPU directly boosts framerates—but does it do the same for text generation and prompt processing? In this video, we put GPU overclocking to the test using an RTX 5060 Ti 16GB. We break down exactly how much extra performance you can squeeze out of your graphics card in LM Studio, testing both Core Clock and Memory Clock increases. We also compare Dense models (Qwen 3.5 27B) against Mixture of Experts / MoE models (Qwen 3.5 35B) to see how model architecture impacts your overclocking gains, and reveal the one scenario where overclocking is completely useless. Follow me on X: https://x.com/redStapler_twit ** My Portable AI PC Setup ** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 Chapters: 00:00 - Intro 00:24 - Baseline Test 01:09 - Core Clock vs. Memory Clock Benchmarks 01:51 - Combined GPU Overclocking Results 02:23 - MoE Model Test 03:18 - CPU Offloading Test 03:47 - Conclusion #localai #localllm #gpubenchmark #ai