VoidHue
Can your GPU run this game?
Estimated FPS across quality settings and resolutions
Search for your GPU above to see a full FPS breakdown at every quality and resolution.
VoidHue FPS by GPU
Estimated framerates for 14 reference GPUs · pick a resolution and quality
Full benchmark grid · 14 GPUs × 4 qualities × 3 resolutions
1080p performance
| GPU | low | medium | high | ultra |
|---|---|---|---|---|
| RTX 5090 | 118 fps | 94 fps | 75 fps | 61 fps |
| RTX 4090 | 109 fps | 87 fps | 70 fps | 57 fps |
| RX 7900 XTX | 98 fps | 78 fps | 63 fps | 51 fps |
| RTX 5080 | 92 fps | 74 fps | 59 fps | 48 fps |
| RTX 4080 Super | 87 fps | 70 fps | 56 fps | 45 fps |
| RTX 4070 Ti | 69 fps | 55 fps | 44 fps | 36 fps |
| RTX 4070 | 59 fps | 47 fps | 38 fps | 31 fps |
| RX 7800 XT | 52 fps | 41 fps | 33 fps | 27 fps |
| RTX 3080 | 50 fps | 40 fps | 32 fps | 26 fps |
| RTX 4060 Ti | 48 fps | 38 fps | 30 fps | 25 fps |
| RTX 3070 | 43 fps | 35 fps | 28 fps | 23 fps |
| RTX 4060 | 39 fps | 31 fps | 25 fps | 20 fps |
| RTX 3060 | 34 fps | 27 fps | 22 fps | 17 fps |
| GTX 1660 Super | 24 fps | 20 fps | 16 fps | 13 fps |
1440p performance
| GPU | low | medium | high | ultra |
|---|---|---|---|---|
| RTX 5090 | 88 fps | 71 fps | 57 fps | 46 fps |
| RTX 4090 | 82 fps | 66 fps | 52 fps | 43 fps |
| RX 7900 XTX | 74 fps | 59 fps | 47 fps | 38 fps |
| RTX 5080 | 69 fps | 55 fps | 44 fps | 36 fps |
| RTX 4080 Super | 65 fps | 52 fps | 42 fps | 34 fps |
| RTX 4070 Ti | 51 fps | 41 fps | 33 fps | 27 fps |
| RTX 4070 | 44 fps | 35 fps | 28 fps | 23 fps |
| RX 7800 XT | 39 fps | 31 fps | 25 fps | 20 fps |
| RTX 3080 | 38 fps | 30 fps | 24 fps | 20 fps |
| RTX 4060 Ti | 36 fps | 29 fps | 23 fps | 19 fps |
| RTX 3070 | 33 fps | 26 fps | 21 fps | 17 fps |
| RTX 4060 | 29 fps | 24 fps | 19 fps | 15 fps |
| RTX 3060 | 25 fps | 20 fps | 16 fps | 13 fps |
| GTX 1660 Super | 18 fps | 15 fps | 12 fps | 10 fps |
4K performance
| GPU | low | medium | high | ultra |
|---|---|---|---|---|
| RTX 5090 | 47 fps | 38 fps | 30 fps | 24 fps |
| RTX 4090 | 44 fps | 35 fps | 28 fps | 23 fps |
| RX 7900 XTX | 39 fps | 31 fps | 25 fps | 20 fps |
| RTX 5080 | 37 fps | 30 fps | 24 fps | 19 fps |
| RTX 4080 Super | 35 fps | 28 fps | 22 fps | 18 fps |
| RTX 4070 Ti | 27 fps | 22 fps | 18 fps | 14 fps |
| RTX 4070 | 24 fps | 19 fps | 15 fps | 12 fps |
| RX 7800 XT | 21 fps | 17 fps | 13 fps | 11 fps |
| RTX 3080 | 20 fps | 16 fps | 13 fps | 10 fps |
| RTX 4060 Ti | 19 fps | 15 fps | 12 fps | 10 fps |
| RTX 3070 | 17 fps | 14 fps | 11 fps | 9 fps |
| RTX 4060 | 16 fps | 13 fps | 10 fps | 8 fps |
| RTX 3060 | 13 fps | 11 fps | 9 fps | 7 fps |
| GTX 1660 Super | 10 fps | 8 fps | 6 fps | 5 fps |
Where to buy
VoidHue
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Minimum Hardware
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Genres
About
To run VoidHue smoothly, a mid-range GPU like the RTX 4060 or RX 7600 is recommended. These graphics cards will ensure a solid performance while handling the game's vibrant visuals and light-based mechanics. Since the game is not graphically demanding, even lower-tier GPUs can manage decent performance at lower resolutions, but aiming for a mid-range card will enhance your experience, particularly if you want to play at higher settings or resolutions.
For optimal performance, you can target 1080p resolution on mid-range hardware with settings set to high. If you're using a lower-end GPU, such as an older GTX 1660 or RX 580, you may want to lower the settings to medium and possibly play at 720p for a smoother frame rate. Overall, VoidHue is accessible for a wide range of systems, making it a great choice for both casual players and those looking for a visually engaging puzzle experience.
Performance profile
As a strategy title, VoidHue is typically CPU-bound rather than GPU-bound — single-thread CPU performance dictates framerate during large-scale battles, end-game saves and late-game AI turns. A fast modern 6-core will help more than a GPU upgrade.
High-end requirement. VoidHue needs an RTX 4070 Ti or RX 7800 XT for comfortable 1440p 60 FPS at High settings. 4K Ultra 60 FPS is flagship territory — RTX 4080 Super / RX 7900 XTX minimum without upscaling.
