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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Intel Core i3 or above | — |
| Memory | 4 GB RAM | — |
| Graphics | NVIDIA GeForce GTX 560 1GB | — |
| Storage | 250 MB available space | — |
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | macOS Sierra 10 or newer | — |
| Processor | Intel or Devices with Apple silicon | — |
| Memory | 4 GB RAM | — |
| Storage | 250 MB available space | — |
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Ubuntu 14.04 and 15.10 | — |
| Processor | Intel Core i3 or above | — |
| Memory | 4 GB RAM | — |
| Graphics | GeForce GTX 660 Ti 2GB | — |
| Storage | 250 MB available space | — |
What are the system requirements for Anonymous Messages on PC?
To run Anonymous Messages on your PC, you need at least a Intel Core i3 / above processor and a NVIDIA GeForce GTX 560 1GB graphics card. For the best experience, a — CPU and — GPU are recommended. The game also requires a minimum of 4 GB RAM RAM, 250 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 Anonymous Messages will run smoothly on your setup.
What GPU do I need for Anonymous Messages?
The minimum GPU required for Anonymous Messages is NVIDIA GeForce GTX 560 1GB. For optimal performance, a — or better is recommended.
How much RAM does Anonymous Messages need?
Anonymous Messages requires at least 4 GB RAM of RAM. The recommended amount is — for the best experience.
How much disk space does Anonymous Messages require?
You need at least 250 MB available space of available storage space to install Anonymous Messages.
Can I run Anonymous Messages on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Anonymous Messages. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Anonymous Messages?
The minimum CPU for Anonymous Messages is Intel Core i3 / above. For better performance, a — processor is recommended.