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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 11 |
| Processor | Intel Core 2 Quad Q6600 or AMD Phenom II X4 965 | Intel Core i5-2300 or AMD FX-8350 |
| Memory | 6 GB RAM | 8 GB RAM |
| Graphics | NVIDIA GeForce GT 1030, 2 GB or AMD Radeon R7 250, 2 GB | NVIDIA GeForce GT 1030, 2 GB or AMD Radeon R7 250, 2 GB |
| Storage | 10 GB available space | — |
| Additional Notes | Details: Low 720p @ 30 FPS | Details: High 1080p @ 60 FPS |
What are the system requirements for LEGO Party! on PC?
To run LEGO Party! on your PC, you need at least a Intel Core 2 Quad Q6600 / AMD Phenom II X4 965 processor and a NVIDIA GeForce GT 1030, 2 GB / AMD Radeon R7 250, 2 GB graphics card. For the best experience, a Intel Core i5-2300 / AMD FX-8350 CPU and NVIDIA GeForce GT 1030, 2 GB / AMD Radeon R7 250, 2 GB GPU are recommended. The game also requires a minimum of 6 GB RAM RAM, 10 GB 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 LEGO Party! will run smoothly on your setup.
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What GPU do I need for LEGO Party!?
The minimum GPU required for LEGO Party! is NVIDIA GeForce GT 1030, 2 GB / AMD Radeon R7 250, 2 GB. For optimal performance, a NVIDIA GeForce GT 1030, 2 GB / AMD Radeon R7 250, 2 GB or better is recommended.
How much RAM does LEGO Party! need?
LEGO Party! requires at least 6 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does LEGO Party! require?
You need at least 10 GB available space of available storage space to install LEGO Party!.
Can I run LEGO Party! on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of LEGO Party!. Check the official store page for Mac or Linux compatibility.
What CPU is needed for LEGO Party!?
The minimum CPU for LEGO Party! is Intel Core 2 Quad Q6600 / AMD Phenom II X4 965. For better performance, a Intel Core i5-2300 / AMD FX-8350 processor is recommended.