GamePP Frequently Asked Questions - Professional Hardware Monitoring Software FAQ Knowledge Base

How to adjust graphics card performance settings (Beta) for the Sapphire RX 7800 XT 16G D6 GPU in GamePP?

软件使用

 1. Open the GamePP main interface, click on the "Hardware Monitoring" module on the left to enter the advanced user-oriented graphics card parameter customization tool (Beta testing phase). 2. Switch to the "Graphics Card Performance Settings (Beta)" tab, adjust graphics card fan speed (supports auto/manual modes), and maximum power limit (-30%~10% range). 3. Adjust graphics card core frequency (-500MHz~1000MHz range) and memory frequency (2518MHz~3000MHz range). After this setup, you can customize the balance between performance and cooling, supporting NVIDIA/AMD graphics cards; if the function doesn't take effect, update to the latest official graphics driver.

How to set up lab (Beta) data collection for the YMTC Zhitai TiPro9000 (2TB) SSD in GamePP?

软件使用

 1. Open the GamePP main interface, click on the "Hardware Monitoring" module on the left to enter the advanced user-oriented deep hardware monitoring tool (Beta testing phase). 2. Switch to the "Lab (Beta)" tab, record long-term full-dimensional hardware data including core frequency, temperature, power consumption, voltage, etc. 3. Set monitoring periods (e.g., 10 minutes - 2 hours) and data sampling intervals (e.g., 1 second/time - 10 seconds/time), support custom hotkeys for start/stop statistics, calendar/date filtering of records, and export detailed data reports. After this setup, you can perform professional-level SSD performance analysis, with high data density advantages.

How to set up performance statistics logging for the Kingston FURY Beast 32GB DDR5 6000 RAM in GamePP?

软件使用

1. Open the GamePP main interface, click on the "Hardware Monitoring" module on the left to access the hardware performance history data tracing and analysis tool. 2. Switch to the "Performance Statistics" tab, record historical game data such as FPS curves, CPU/GPU load changes, hardware temperature fluctuations, etc. 3. Filter specific game performance records by calendar/date, and export data reports to view detailed statistics. After this setup, you can review RAM-related bottlenecks, with support for persistent data storage and visual report generation.

How to set up in-game monitoring overlay for the Colorful iGame GeForce RTX 5060 Ultra W OC GPU in GamePP?

软件使用

 1. Open the GamePP main interface, click on the "Hardware Monitoring" module on the left to enter status monitoring and troubleshooting scenarios. 2. Switch to the "In-Game Monitoring" tab, customize hotkeys to show/hide the panel (default supports customization), and select key data to display such as game FPS/CPU temperature/GPU temperature/memory usage rate. 3. Adjust font size (compatible with 480P-4K resolutions), refresh interval, monitoring panel edge snapping, and display styles (horizontal mode/vertical mode 2/immersive mode, etc.). After this setup, you can get real-time GPU performance feedback in-game without switching windows, with ultra-low latency rendering that doesn't affect frame rates.

How to set up desktop monitoring for the ASUS TUF GAMING X870-PLUS WIFI motherboard in GamePP to prevent lag in League of Legends?

软件使用

1. Open the GamePP main interface, click on the "Hardware Monitoring" module on the left to access the core entry for viewing hardware configuration overview. 2. Switch to the "Desktop Monitoring" tab, select custom monitoring items such as CPU temperature, GPU temperature, memory usage rate, and other key indicators. 3. Configure preset panel styles, such as selecting "Zhenheng" or "Default" style, adjust background transparency (0%-100%), desktop position (custom nine-grid areas on the desktop), and font styles (font type / size / color). After this setup, you can keep monitoring motherboard-related data on the desktop with low performance consumption that doesn't obstruct game operations, helping to promptly identify lag issues in League of Legends caused by hardware overload.

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