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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Pentium 4 1 Ghz (or equivalent) | Intel Core i7 |
| Memory | 200 MB RAM | 500 MB RAM |
| Graphics | ATI or NVidia card 64 MB RAM | ATI or NVidia card 128MB |
| Storage | 300 MB available space | 300 MB available space |
| Additional Notes | DirectX 9.0 compatible Sound Card; mouse | DirectX 9.0 compatible Sound Card; mouse |
What are the system requirements for Click Space Miner 2 - 500 Coins on PC?
To run Click Space Miner 2 - 500 Coins on your PC, you need at least a Pentium 4 1 Ghz (or equivalent) processor and a ATI / NVidia card 64 MB RAM graphics card. For the best experience, a Intel Core i7 CPU and ATI / NVidia card 128MB GPU are recommended. The game also requires a minimum of 200 MB RAM RAM, 300 MB available space of disk space, — as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Click Space Miner 2 - 500 Coins will run smoothly on your setup.
What GPU do I need for Click Space Miner 2 - 500 Coins?
The minimum GPU required for Click Space Miner 2 - 500 Coins is ATI / NVidia card 64 MB RAM. For optimal performance, a ATI / NVidia card 128MB or better is recommended.
How much RAM does Click Space Miner 2 - 500 Coins need?
Click Space Miner 2 - 500 Coins requires at least 200 MB RAM of RAM. The recommended amount is 500 MB RAM for the best experience.
How much disk space does Click Space Miner 2 - 500 Coins require?
You need at least 300 MB available space of available storage space to install Click Space Miner 2 - 500 Coins.
Can I run Click Space Miner 2 - 500 Coins on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Click Space Miner 2 - 500 Coins. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Click Space Miner 2 - 500 Coins?
The minimum CPU for Click Space Miner 2 - 500 Coins is Pentium 4 1 Ghz (or equivalent). For better performance, a Intel Core i7 processor is recommended.