- Home
- Games
- EYES ON THE EXAM
- System Requirements
Trending Searches:
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 10 |
| Processor | Intel Core i5-7400 CPU @ 3.00GHz ; Shader Model 5 | Intel Core i5-7400 CPU @ 3.00GHz ; Shader Model 5 |
| Memory | 2 GB RAM | 2 GB RAM |
| Graphics | NVIDIA GForce GTX 1060 | NVIDIA GForce GTX 1060 |
| DirectX | Version 11 | Version 11 |
| Storage | 1 GB available space | 1 GB available space |
What are the system requirements for EYES ON THE EXAM on PC?
To run EYES ON THE EXAM on your PC, you need at least a Intel Core i5-7400 CPU @ 3.00GHz ; Shader Model 5 processor and a NVIDIA GForce GTX 1060 graphics card. For the best experience, a Intel Core i5-7400 CPU @ 3.00GHz ; Shader Model 5 CPU and NVIDIA GForce GTX 1060 GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 1 GB available space of disk space, Windows 10 as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure EYES ON THE EXAM will run smoothly on your setup.
Buy EYES ON THE EXAM from $4.99
See deals →
What GPU do I need for EYES ON THE EXAM?
The minimum GPU required for EYES ON THE EXAM is NVIDIA GForce GTX 1060. For optimal performance, a NVIDIA GForce GTX 1060 or better is recommended.
How much RAM does EYES ON THE EXAM need?
EYES ON THE EXAM requires at least 2 GB RAM of RAM. The recommended amount is 2 GB RAM for the best experience.
How much disk space does EYES ON THE EXAM require?
You need at least 1 GB available space of available storage space to install EYES ON THE EXAM.
Can I run EYES ON THE EXAM on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of EYES ON THE EXAM. Check the official store page for Mac or Linux compatibility.
What CPU is needed for EYES ON THE EXAM?
The minimum CPU for EYES ON THE EXAM is Intel Core i5-7400 CPU @ 3.00GHz ; Shader Model 5. For better performance, a Intel Core i5-7400 CPU @ 3.00GHz ; Shader Model 5 processor is recommended.