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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 64-bit (Version 2004 or higher) | Windows 10 64-bit (Version 2004 or higher) |
| Processor | Quad-core Intel/AMD, 2.5 GHz or faster | 12-core CPU at 3.4 GHz or higher (e.g., AMD Ryzen 9 5900x, Intel Core i7-12700K/13700K) |
| Memory | 16 MB RAM | 32 MB RAM |
| Graphics | NVIDIA GTX 1080 or AMD RX Vega 64 or higher | NVIDIA RTX 3080 / RTX 4070 Ti or AMD Radeon 5700 XT / RX 7000 series |
| DirectX | Version 11 | Version 12 |
What are the system requirements for PAVLOV23 on PC?
To run PAVLOV23 on your PC, you need at least a Quad-core Intel/AMD, 2.5 GHz processor and a NVIDIA GTX 1080 / AMD RX Vega 64 graphics card. For the best experience, a 12-core CPU at 3.4 GHz (e.g., AMD Ryzen 9 5900x, Intel Core i7-12700K/13700K) CPU and NVIDIA RTX 3080 / RTX 4070 Ti / AMD Radeon 5700 XT / RX 7000 series GPU are recommended. The game also requires a minimum of 16 MB RAM RAM, — of disk space, Windows 10 64-bit (Version 2004 or higher) as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure PAVLOV23 will run smoothly on your setup.
What GPU do I need for PAVLOV23?
The minimum GPU required for PAVLOV23 is NVIDIA GTX 1080 / AMD RX Vega 64. For optimal performance, a NVIDIA RTX 3080 / RTX 4070 Ti / AMD Radeon 5700 XT / RX 7000 series or better is recommended.
How much RAM does PAVLOV23 need?
PAVLOV23 requires at least 16 MB RAM of RAM. The recommended amount is 32 MB RAM for the best experience.
How much disk space does PAVLOV23 require?
You need at least — of available storage space to install PAVLOV23.
Can I run PAVLOV23 on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of PAVLOV23. Check the official store page for Mac or Linux compatibility.
What CPU is needed for PAVLOV23?
The minimum CPU for PAVLOV23 is Quad-core Intel/AMD, 2.5 GHz. For better performance, a 12-core CPU at 3.4 GHz (e.g., AMD Ryzen 9 5900x, Intel Core i7-12700K/13700K) processor is recommended.