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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 (64bit required) | Windows 11 (64bit required) |
| Processor | AMD Ryzen 5 5600/5600X or Intel Core I5-12400F | AMD Ryzen 5 5600/5600X or Intel Core I5-12400F |
| Memory | 16 GB RAM | 16 GB RAM |
| Graphics | NVIDIA GTX 1650 4GB | NVIDIA RTX 2060 8GB |
| DirectX | Version 12 | Version 12 |
| Storage | 15 GB available space | 15 GB available space |
| Additional Notes | An SSD is required. | An SSD is required. |
What are the system requirements for Canicas Playtest on PC?
To run Canicas Playtest on your PC, you need at least a AMD Ryzen 5 5600/5600X / Intel Core I5-12400F processor and a NVIDIA GTX 1650 4GB graphics card. For the best experience, a AMD Ryzen 5 5600/5600X / Intel Core I5-12400F CPU and NVIDIA RTX 2060 8GB GPU are recommended. The game also requires a minimum of 16 GB RAM RAM, 15 GB available space of disk space, Windows 10 (64bit required) as your operating system, and DirectX 12. Check the full specification table above and compare it with your hardware to make sure Canicas Playtest will run smoothly on your setup.
What GPU do I need for Canicas Playtest?
The minimum GPU required for Canicas Playtest is NVIDIA GTX 1650 4GB. For optimal performance, a NVIDIA RTX 2060 8GB or better is recommended.
How much RAM does Canicas Playtest need?
Canicas Playtest requires at least 16 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does Canicas Playtest require?
You need at least 15 GB available space of available storage space to install Canicas Playtest.
Can I run Canicas Playtest on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Canicas Playtest. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Canicas Playtest?
The minimum CPU for Canicas Playtest is AMD Ryzen 5 5600/5600X / Intel Core I5-12400F. For better performance, a AMD Ryzen 5 5600/5600X / Intel Core I5-12400F processor is recommended.