Stress testing is a crucial step in overclocking. The process is the same as increasing the GPU frequency. Next, you can tweak the memory clock to increase its speed. Then start adjusting the voltage to achieve stability. Similar to CPU overclocking, you need to gradually increase the GPU frequency until your system becomes unstable or crashes. These include the GPU frequency, voltage, and memory clock. Navigate to the GPU overclocking tab in XTU, and you will see various settings. Keep increasing the voltage until the CPU becomes stable.Īfter tuning the CPU settings, you can start working on the GPU settings. This is known as finding the CPU’s maximum frequency.Īfter finding the maximum frequency, you can adjust the CPU voltage to achieve stability. Increase it gradually until the CPU becomes unstable or crashes. You need to start by adjusting the CPU frequency. These include the core voltage, frequency, and ratio. Here, you will see various settings for your CPU. Open the software and navigate to the overclocking tab. Install the software and follow the instructions provided.Īfter installing Intel XTU on your PC, you can start tuning your CPU settings. Ou have verified your hardware’s compatibility, you can proceed to download Intel XTU from the manufacturer’s website. Intel’s XTU website has a compatibility tool that checks your hardware for compatibility with XTU. You need to have a CPU with an unlocked multiplier, a compatible motherboard with good VRMs, and a good cooling solution to handle increased heat. Not all CPUs, motherboards, and cooling solutions can be overclocked to their maximum potential. In this article, we will guide you on how to overclock your PC using Intel XTU software.īefore you attempt to overclock your PC, you need to ensure that your hardware is capable of handling it. It comes with some risks, but when done correctly, overclocking can provide a significant performance boost to your PC. Overclocking is the process of pushing your computer’s central processing unit (CPU) and graphics processing unit (GPU) to their limits in order to achieve better performance.
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