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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | windows 10+ | windows 10+ |
| Processor | intel i5+ | intel i5+ |
| Memory | 4 GB RAM | 8 GB RAM |
| Graphics | Nvidia 450 GTS / Radeon HD 5750 or better | Nvidia 450 GTS / Radeon HD 5750 or better |
| Storage | 800 MB available space | 800 MB available space |
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | OS X 10.11.x | OS X 10.11.x |
| Processor | intel i5+ or M1+ | intel i5+ or M1+ |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | Intel HD Graphics 4000 or higher (requires Metal) | Intel HD Graphics 4000 or higher (requires Metal) |
| Storage | 800 MB available space | 800 MB available space |
What are the system requirements for Harvesteria on PC?
To run Harvesteria on your PC, you need at least a intel i5+ processor and a Nvidia 450 GTS / Radeon HD 5750 graphics card. For the best experience, a intel i5+ CPU and Nvidia 450 GTS / Radeon HD 5750 GPU are recommended. The game also requires a minimum of 4 GB RAM RAM, 800 MB available space of disk space, windows 10+ as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Harvesteria will run smoothly on your setup.
What GPU do I need for Harvesteria?
The minimum GPU required for Harvesteria is Nvidia 450 GTS / Radeon HD 5750. For optimal performance, a Nvidia 450 GTS / Radeon HD 5750 or better is recommended.
How much RAM does Harvesteria need?
Harvesteria requires at least 4 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does Harvesteria require?
You need at least 800 MB available space of available storage space to install Harvesteria.
Can I run Harvesteria on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Harvesteria. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Harvesteria?
The minimum CPU for Harvesteria is intel i5+. For better performance, a intel i5+ processor is recommended.