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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10/11 (64-bit) | Windows 10/11 (64-bit) |
| Processor | Intel i5 9600 or AMD equivalent | Intel i7 12700K or AMD equivalent |
| Memory | 8 GB RAM | 8 GB RAM |
| Graphics | Nvidia GeForce GTX 1080 Ti or AMD equivalent | Nvidia GeForce RTX 3070 or AMD equivalent |
| DirectX | Version 12 | Version 12 |
| Storage | 20 GB available space | 20 GB available space |
| Additional Notes | 1080p 30 FPS on Low settings without upscaling. | 1080p 60 FPS on High settings without upscaling. |
What are the system requirements for Flock Off! on PC?
To run Flock Off! on your PC, you need at least a Intel i5 9600 / AMD equivalent processor and a Nvidia GeForce GTX 1080 Ti / AMD equivalent graphics card. For the best experience, a Intel i7 12700K / AMD equivalent CPU and Nvidia GeForce RTX 3070 / AMD equivalent GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 20 GB available space of disk space, Windows 10/11 (64-bit) as your operating system, and DirectX 12. Check the full specification table above and compare it with your hardware to make sure Flock Off! will run smoothly on your setup.
What GPU do I need for Flock Off!?
The minimum GPU required for Flock Off! is Nvidia GeForce GTX 1080 Ti / AMD equivalent. For optimal performance, a Nvidia GeForce RTX 3070 / AMD equivalent or better is recommended.
How much RAM does Flock Off! need?
Flock Off! requires at least 8 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does Flock Off! require?
You need at least 20 GB available space of available storage space to install Flock Off!.
Can I run Flock Off! on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Flock Off!. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Flock Off!?
The minimum CPU for Flock Off! is Intel i5 9600 / AMD equivalent. For better performance, a Intel i7 12700K / AMD equivalent processor is recommended.