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- System Requirements
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| Component | Minimum: |
|---|---|
| Processor | Intel Core i3-2120 / AMD Phenom II X4 |
| Memory | 4 GB RAM |
| Graphics | Nvidia GTX 460 / AMD Radeon R9 350 |
| DirectX | Version 11 |
| Storage | 1 GB available space |
| Component | Minimum: |
|---|---|
| OS | Version 10.12 (Sierra) |
| Processor | Intel Core i5 |
| Memory | 8 GB RAM |
| Storage | 1 GB available space |
What are the system requirements for Timelie : Hell Loop - DLC Puzzle Pack on PC?
To run Timelie : Hell Loop - DLC Puzzle Pack on your PC, you need at least a Intel Core i3-2120 / AMD Phenom II X4 processor and a Nvidia GTX 460 / AMD Radeon R9 350 graphics card. For the best experience, a — CPU and — GPU are recommended. The game also requires a minimum of 4 GB RAM RAM, 1 GB available space of disk space, — as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure Timelie : Hell Loop - DLC Puzzle Pack will run smoothly on your setup.
What GPU do I need for Timelie : Hell Loop - DLC Puzzle Pack?
The minimum GPU required for Timelie : Hell Loop - DLC Puzzle Pack is Nvidia GTX 460 / AMD Radeon R9 350. For optimal performance, a — or better is recommended.
How much RAM does Timelie : Hell Loop - DLC Puzzle Pack need?
Timelie : Hell Loop - DLC Puzzle Pack requires at least 4 GB RAM of RAM. The recommended amount is — for the best experience.
How much disk space does Timelie : Hell Loop - DLC Puzzle Pack require?
You need at least 1 GB available space of available storage space to install Timelie : Hell Loop - DLC Puzzle Pack.
Can I run Timelie : Hell Loop - DLC Puzzle Pack on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Timelie : Hell Loop - DLC Puzzle Pack. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Timelie : Hell Loop - DLC Puzzle Pack?
The minimum CPU for Timelie : Hell Loop - DLC Puzzle Pack is Intel Core i3-2120 / AMD Phenom II X4. For better performance, a — processor is recommended.