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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 10 |
| Processor | Intel i5-12600 | Intel i5-12600 |
| Memory | 8 GB RAM | 8 GB RAM |
| Graphics | Nvidia RTX 2060 / AMD RX-5700 | Nvidia RTX 2060 / AMD RX-5700 |
| DirectX | Version 11 | Version 11 |
| Storage | 1500 MB available space | 1500 MB available space |
| Additional Notes | Listed specs include running the motion capture on the same PC. Lower grade systems can likely be used, especially if running RealmConnect. | Listed specs include running the motion capture on the same PC. Lower grade systems can likely be used, especially if running RealmConnect. |
What are the system requirements for Dance Junkie on PC?
To run Dance Junkie on your PC, you need at least a Intel i5-12600 processor and a Nvidia RTX 2060 / AMD RX-5700 graphics card. For the best experience, a Intel i5-12600 CPU and Nvidia RTX 2060 / AMD RX-5700 GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 1500 MB 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 Dance Junkie will run smoothly on your setup.
What GPU do I need for Dance Junkie?
The minimum GPU required for Dance Junkie is Nvidia RTX 2060 / AMD RX-5700. For optimal performance, a Nvidia RTX 2060 / AMD RX-5700 or better is recommended.
How much RAM does Dance Junkie need?
Dance Junkie requires at least 8 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does Dance Junkie require?
You need at least 1500 MB available space of available storage space to install Dance Junkie.
Can I run Dance Junkie on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Dance Junkie. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Dance Junkie?
The minimum CPU for Dance Junkie is Intel i5-12600. For better performance, a Intel i5-12600 processor is recommended.