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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | 2 Ghz Dual Core | 2 Ghz Dual Core |
| Memory | 2 GB RAM | 2 GB RAM |
| Graphics | Graphics card supporting DirectX 9.0c | Graphics card supporting DirectX 9.0c |
| Additional Notes | any | any |
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Mac OS X 10.11 or higher | Mac OS X 10.11 or higher |
| Processor | Intel Core i3-3210M | Intel Core i3-3210M |
| Graphics | Intel HD Graphics 530 | Intel HD Graphics 530 |
| Storage | 500 MB available space | 500 MB available space |
| Additional Notes | any | any |
What are the system requirements for Samba Space Parade on PC?
To run Samba Space Parade on your PC, you need at least a 2 Ghz Dual Core processor and a Graphics card supporting DirectX 9.0c graphics card. For the best experience, a 2 Ghz Dual Core CPU and Graphics card supporting DirectX 9.0c GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, — of disk space, — as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Samba Space Parade will run smoothly on your setup.
What GPU do I need for Samba Space Parade?
The minimum GPU required for Samba Space Parade is Graphics card supporting DirectX 9.0c. For optimal performance, a Graphics card supporting DirectX 9.0c or better is recommended.
How much RAM does Samba Space Parade need?
Samba Space Parade requires at least 2 GB RAM of RAM. The recommended amount is 2 GB RAM for the best experience.
How much disk space does Samba Space Parade require?
You need at least — of available storage space to install Samba Space Parade.
Can I run Samba Space Parade on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Samba Space Parade. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Samba Space Parade?
The minimum CPU for Samba Space Parade is 2 Ghz Dual Core. For better performance, a 2 Ghz Dual Core processor is recommended.