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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Win 10 | Win 10 or higher |
| Processor | Intel i5-4590 or greater / AMD FX 8350 | Intel i7 or Ryzen 5 3600 |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | NVIDIA GeForce GTX 980 / AMD R9 390X | GTX 980 or better |
| DirectX | Version 10 | Version 11 |
| Storage | 1 GB available space | 6 GB available space |
| Additional Notes | Broadband Internet connection | Broadband Internet connection |
What are the system requirements for Sing Together: VR Karaoke on PC?
To run Sing Together: VR Karaoke on your PC, you need at least a Intel i5-4590 / greater / AMD FX 8350 processor and a NVIDIA GeForce GTX 980 / AMD R9 390X graphics card. For the best experience, a Intel i7 / Ryzen 5 3600 CPU and GTX 980 GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 1 GB available space of disk space, Win 10 as your operating system, and DirectX 10. Check the full specification table above and compare it with your hardware to make sure Sing Together: VR Karaoke will run smoothly on your setup.
What GPU do I need for Sing Together: VR Karaoke?
The minimum GPU required for Sing Together: VR Karaoke is NVIDIA GeForce GTX 980 / AMD R9 390X. For optimal performance, a GTX 980 or better is recommended.
How much RAM does Sing Together: VR Karaoke need?
Sing Together: VR Karaoke requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does Sing Together: VR Karaoke require?
You need at least 1 GB available space of available storage space to install Sing Together: VR Karaoke.
Can I run Sing Together: VR Karaoke on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Sing Together: VR Karaoke. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Sing Together: VR Karaoke?
The minimum CPU for Sing Together: VR Karaoke is Intel i5-4590 / greater / AMD FX 8350. For better performance, a Intel i7 / Ryzen 5 3600 processor is recommended.