- Home
- Games
- Frame Sense Trainer
- System Requirements
Trending Searches:
| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | 64 Bit | 64 Bit |
| Memory | 2 GB RAM | 2 GB RAM |
| Graphics | Integrated graphics with full OpenGL 3.3 support, monitor resolution of at least 1920x1080 | GeForce GTX 660, AMD Radeon HD 7750 |
| DirectX | Version 11 | Version 11 |
| Storage | 300 MB available space | 300 MB available space |
What are the system requirements for Frame Sense Trainer on PC?
To run Frame Sense Trainer on your PC, you need at least a 64 Bit processor and a Integrated graphics with full OpenGL 3.3 support, monitor resolution of at least 1920x1080 graphics card. For the best experience, a 64 Bit CPU and GeForce GTX 660, AMD Radeon HD 7750 GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 300 MB 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 Frame Sense Trainer will run smoothly on your setup.
Buy Frame Sense Trainer from £1.69
See deals →
What GPU do I need for Frame Sense Trainer?
The minimum GPU required for Frame Sense Trainer is Integrated graphics with full OpenGL 3.3 support, monitor resolution of at least 1920x1080. For optimal performance, a GeForce GTX 660, AMD Radeon HD 7750 or better is recommended.
How much RAM does Frame Sense Trainer need?
Frame Sense Trainer requires at least 2 GB RAM of RAM. The recommended amount is 2 GB RAM for the best experience.
How much disk space does Frame Sense Trainer require?
You need at least 300 MB available space of available storage space to install Frame Sense Trainer.
Can I run Frame Sense Trainer on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Frame Sense Trainer. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Frame Sense Trainer?
The minimum CPU for Frame Sense Trainer is 64 Bit. For better performance, a 64 Bit processor is recommended.