- Home
- Games
- Room Escape: Open Doors
- System Requirements
Trending Searches:
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 10 |
| Processor | Intel Core i3 / AMD Ryzen 3 | Intel Core i3 / AMD Ryzen 3 |
| Memory | 2 GB RAM | 2 GB RAM |
| Graphics | Nvidia GT 1030 | Nvidia GT 1030 |
| DirectX | Version 9.0 | Version 9.0 |
| Storage | 300 MB available space | 300 MB available space |
| Additional Notes | DirectX compatible | DirectX compatible |
What are the system requirements for Room Escape: Open Doors on PC?
To run Room Escape: Open Doors on your PC, you need at least a Intel Core i3 / AMD Ryzen 3 processor and a Nvidia GT 1030 graphics card. For the best experience, a Intel Core i3 / AMD Ryzen 3 CPU and Nvidia GT 1030 GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 300 MB available space of disk space, Windows 10 as your operating system, and DirectX 9.0. Check the full specification table above and compare it with your hardware to make sure Room Escape: Open Doors will run smoothly on your setup.
Buy Room Escape: Open Doors from C$6.49
See deals →
What GPU do I need for Room Escape: Open Doors?
The minimum GPU required for Room Escape: Open Doors is Nvidia GT 1030. For optimal performance, a Nvidia GT 1030 or better is recommended.
How much RAM does Room Escape: Open Doors need?
Room Escape: Open Doors requires at least 2 GB RAM of RAM. The recommended amount is 2 GB RAM for the best experience.
How much disk space does Room Escape: Open Doors require?
You need at least 300 MB available space of available storage space to install Room Escape: Open Doors.
Can I run Room Escape: Open Doors on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Room Escape: Open Doors. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Room Escape: Open Doors?
The minimum CPU for Room Escape: Open Doors is Intel Core i3 / AMD Ryzen 3. For better performance, a Intel Core i3 / AMD Ryzen 3 processor is recommended.