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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Passmark CPU 1000 or better | Passmark CPU 1000 or better |
| Memory | 2 GB RAM | 2 GB RAM |
| Graphics | Passmark GPU 200 or better with OpenGL 2.0 support | Passmark GPU 200 or better with OpenGL 2.0 support |
| Storage | 10 MB available space | 10 MB available space |
| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Passmark CPU 1000 or better | Passmark CPU 1000 or better |
| Memory | 2 GB RAM | 2 GB RAM |
| Graphics | Passmark GPU 200 or better with OpenGL 2.0 support | Passmark GPU 200 or better with OpenGL 2.0 support |
| Storage | 10 MB available space | 10 MB available space |
What are the system requirements for Sub Rosa on PC?
To run Sub Rosa on your PC, you need at least a Passmark CPU 1000 processor and a Passmark GPU 200 with OpenGL 2.0 support graphics card. For the best experience, a Passmark CPU 1000 CPU and Passmark GPU 200 with OpenGL 2.0 support GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 10 MB available space of disk space, — as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Sub Rosa will run smoothly on your setup.
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What GPU do I need for Sub Rosa?
The minimum GPU required for Sub Rosa is Passmark GPU 200 with OpenGL 2.0 support. For optimal performance, a Passmark GPU 200 with OpenGL 2.0 support or better is recommended.
How much RAM does Sub Rosa need?
Sub Rosa requires at least 2 GB RAM of RAM. The recommended amount is 2 GB RAM for the best experience.
How much disk space does Sub Rosa require?
You need at least 10 MB available space of available storage space to install Sub Rosa.
Can I run Sub Rosa on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Sub Rosa. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Sub Rosa?
The minimum CPU for Sub Rosa is Passmark CPU 1000. For better performance, a Passmark CPU 1000 processor is recommended.