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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 64-bit | Windows 10 64-bit |
| Processor | 2.5 GHz Quad-core Intel or AMD processor | 2.5 GHz Quad-core Intel or AMD processor |
| Memory | 4 GB RAM | 4 GB RAM |
| Graphics | NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD | NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD |
| Storage | 3 GB available space | 3 GB available space |
| Additional Notes | Broadband Internet connection; The game includes graphics settings to aid lower end devices. | Broadband Internet connection; The game includes graphics settings to aid lower end devices. |
What are the system requirements for CUFFBUST on PC?
To run CUFFBUST on your PC, you need at least a 2.5 GHz Quad-core Intel / AMD processor and a NVIDIA GeForce 470 GTX / AMD Radeon 6870 HD graphics card. For the best experience, a 2.5 GHz Quad-core Intel / AMD CPU and NVIDIA GeForce 470 GTX / AMD Radeon 6870 HD GPU are recommended. The game also requires a minimum of 4 GB RAM RAM, 3 GB 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 CUFFBUST will run smoothly on your setup.
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What GPU do I need for CUFFBUST?
The minimum GPU required for CUFFBUST is NVIDIA GeForce 470 GTX / AMD Radeon 6870 HD. For optimal performance, a NVIDIA GeForce 470 GTX / AMD Radeon 6870 HD or better is recommended.
How much RAM does CUFFBUST need?
CUFFBUST requires at least 4 GB RAM of RAM. The recommended amount is 4 GB RAM for the best experience.
How much disk space does CUFFBUST require?
You need at least 3 GB available space of available storage space to install CUFFBUST.
Can I run CUFFBUST on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of CUFFBUST. Check the official store page for Mac or Linux compatibility.
What CPU is needed for CUFFBUST?
The minimum CPU for CUFFBUST is 2.5 GHz Quad-core Intel / AMD. For better performance, a 2.5 GHz Quad-core Intel / AMD processor is recommended.