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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | — | Windows 10 |
| Processor | Intel i5-4590 or AMD FX 8350 equivalent or greater | Intel Core i7-4770 equivalent or greater |
| Memory | 8 GB RAM | 16 MB RAM |
| Graphics | Nvidia GeForce GTX970, AMD Radeon R9 290 equivalent or greater | Nvidia GeForce GTX2060 equivalent or greater |
| Storage | 3 GB available space | 3 GB available space |
What are the system requirements for Mount Wingsuit 2 on PC?
To run Mount Wingsuit 2 on your PC, you need at least a Intel i5-4590 / AMD FX 8350 equivalent / greater processor and a Nvidia GeForce GTX970, AMD Radeon R9 290 equivalent / greater graphics card. For the best experience, a Intel Core i7-4770 equivalent / greater CPU and Nvidia GeForce GTX2060 equivalent / greater GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 3 GB available space of disk space, — as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Mount Wingsuit 2 will run smoothly on your setup.
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What GPU do I need for Mount Wingsuit 2?
The minimum GPU required for Mount Wingsuit 2 is Nvidia GeForce GTX970, AMD Radeon R9 290 equivalent / greater. For optimal performance, a Nvidia GeForce GTX2060 equivalent / greater or better is recommended.
How much RAM does Mount Wingsuit 2 need?
Mount Wingsuit 2 requires at least 8 GB RAM of RAM. The recommended amount is 16 MB RAM for the best experience.
How much disk space does Mount Wingsuit 2 require?
You need at least 3 GB available space of available storage space to install Mount Wingsuit 2.
Can I run Mount Wingsuit 2 on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Mount Wingsuit 2. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Mount Wingsuit 2?
The minimum CPU for Mount Wingsuit 2 is Intel i5-4590 / AMD FX 8350 equivalent / greater. For better performance, a Intel Core i7-4770 equivalent / greater processor is recommended.