Can GeForce RTX 4080 SUPER run AI Learns To Drive?
GreatThe GeForce RTX 4080 SUPER handles AI Learns To Drive well at 1080p, delivering approximately 1444 FPS at High settings — above the 60 FPS target for smooth gameplay. It can also achieve smooth 1440p at around 1083 FPS.
AI Learns To Drive – GeForce RTX 4080 SUPER FPS Data
| Quality | 1080p | 1440p | 4K |
|---|---|---|---|
| Low | 999+ fps | 999+ fps | 903 fps |
| Medium | 999+ fps | 999+ fps | 722 fps |
| High | 999+ fps | 999+ fps | 578 fps |
| Ultra | 999+ fps | 880 fps | 469 fps |
Estimated FPS · actual performance may vary based on drivers and settings
Minimum System Requirements
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To run AI Learns To Drive smoothly, an entry-level GPU such as the GTX 1650 or RX 6500 XT is sufficient for minimum settings. This setup will allow you to enjoy the game at lower resolutions, around 1080p, with moderate visual quality. However, for a more enjoyable experience, especially if you want to experiment with more complex neural networks and custom tracks, a mid-range GPU like the GTX 1660 or RX 6600 is recommended. This will enable you to crank up the settings to achieve better visual fidelity and maintain stable frame rates.
While the game is designed to be accessible, it still benefits from a more powerful GPU, particularly for those who want to fully explore the intricacies of training AI. At higher settings and resolutions, such as 1440p, a more capable card like the RTX 3060 or RX 6700 XT may be necessary to prevent any performance dips. Ultimately, for most players, a solid mid-range GPU will provide a balanced experience that allows for both performance and visual quality, making it a worthwhile investment for this unique driving simulation.