- Home
- Games
- Lost & Found: A This Bed We Made Story
- System Requirements
Trending Searches:
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | — | Windows 10 |
| Processor | Core i3 7300 | Ryzen 5 3600 |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | 760 GTX | NVIDIA GeForce GTX 1660 |
| DirectX | Version 9.0 | Version 12 |
| Storage | 10 GB available space | 10 GB available space |
What are the system requirements for Lost & Found: A This Bed We Made Story on PC?
To run Lost & Found: A This Bed We Made Story on your PC, you need at least a Core i3 7300 processor and a 760 GTX graphics card. For the best experience, a Ryzen 5 3600 CPU and NVIDIA GeForce GTX 1660 GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 10 GB available space of disk space, — as your operating system, and DirectX 9.0. Check the full specification table above and compare it with your hardware to make sure Lost & Found: A This Bed We Made Story will run smoothly on your setup.
What GPU do I need for Lost & Found: A This Bed We Made Story?
The minimum GPU required for Lost & Found: A This Bed We Made Story is 760 GTX. For optimal performance, a NVIDIA GeForce GTX 1660 or better is recommended.
How much RAM does Lost & Found: A This Bed We Made Story need?
Lost & Found: A This Bed We Made Story requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does Lost & Found: A This Bed We Made Story require?
You need at least 10 GB available space of available storage space to install Lost & Found: A This Bed We Made Story.
Can I run Lost & Found: A This Bed We Made Story on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Lost & Found: A This Bed We Made Story. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Lost & Found: A This Bed We Made Story?
The minimum CPU for Lost & Found: A This Bed We Made Story is Core i3 7300. For better performance, a Ryzen 5 3600 processor is recommended.