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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 64-bit | Windows 10/11 64-bit |
| Processor | Intel Core i3-6100 / AMD Ryzen 3 1200 | Intel Core i5-6500 / AMD Ryzen 5 1400 |
| Memory | 4 GB RAM | 8 GB RAM |
| Graphics | Vulkan 1.0 compatible — NVIDIA GTX 660 / AMD Radeon HD 7870 / Intel HD 520 | NVIDIA GTX 750 Ti / AMD Radeon R7 370 or better |
| Storage | 200 MB available space | 200 MB available space |
What are the system requirements for Final Selection on PC?
To run Final Selection on your PC, you need at least a Intel Core i3-6100 / AMD Ryzen 3 1200 processor and a Vulkan 1.0 compatible — NVIDIA GTX 660 / AMD Radeon HD 7870 / Intel HD 520 graphics card. For the best experience, a Intel Core i5-6500 / AMD Ryzen 5 1400 CPU and NVIDIA GTX 750 Ti / AMD Radeon R7 370 GPU are recommended. The game also requires a minimum of 4 GB RAM RAM, 200 MB available space of disk space, Windows 10 64-bit as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Final Selection will run smoothly on your setup.
What GPU do I need for Final Selection?
The minimum GPU required for Final Selection is Vulkan 1.0 compatible — NVIDIA GTX 660 / AMD Radeon HD 7870 / Intel HD 520. For optimal performance, a NVIDIA GTX 750 Ti / AMD Radeon R7 370 or better is recommended.
How much RAM does Final Selection need?
Final Selection requires at least 4 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does Final Selection require?
You need at least 200 MB available space of available storage space to install Final Selection.
Can I run Final Selection on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Final Selection. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Final Selection?
The minimum CPU for Final Selection is Intel Core i3-6100 / AMD Ryzen 3 1200. For better performance, a Intel Core i5-6500 / AMD Ryzen 5 1400 processor is recommended.