GamePP Frequently Asked Questions

Duration of GamePP's hardware performance test and usage suggestions: ① The benchmark performance test usually takes 10-15 minutes to comprehensively evaluate hardware stability; ② It is recommended to close other programs during the test to avoid occupying hardware resources and causing deviations in test results; ③ If only a quick test is needed, select the 「Quick Test」 mode, which takes 3-5 minutes to obtain a basic performance score.

Steps to set up threshold alerts for monitoring data: ① Enter 「Monitoring Settings」 - 「Alert Management」; ② Set thresholds for CPU temperature, GPU temperature, memory usage, etc. (e.g., CPU temperature of 90℃); ③ Check 「Popup + Sound Alert when Exceeding Threshold」, and the software will promptly remind you when the data exceeds the set value to prevent hardware overheating.

Storage devices supported by GamePP for monitoring and viewing methods: ① It supports monitoring the usage rate, temperature, and read/write speeds of solid-state drives (SSDs) and hard disk drives (HDDs); ② Enter the 「Hardware Monitoring」 - 「Storage Devices」 module, select the target SSD, and you can view real-time data such as its sequential read/write speeds and random read/write speeds to help identify game loading bottlenecks.

Steps to set the monitoring panel to float semi-transparently: ① Open the monitoring control panel in the game and click 「Panel Settings」; ② Adjust the 「Transparency」 slider to the range of 50%-70%; ③ Drag the panel to the edge of the game interface (e.g., upper right corner), check the 「Edge Snapping」 function, and the panel will float at the edge without blocking the core game screen.

Methods to determine performance bottlenecks through monitoring data: ① If the CPU usage remains at 100% while the GPU usage is low, the CPU is the bottleneck; ② If the GPU usage remains at 100% while the CPU usage is not high, the bottleneck is in the GPU; ③ If the memory usage is consistently above 80% with lag, it indicates insufficient memory; combining these three types of data can quickly identify the component with performance bottlenecks.