while True: learn()
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Estimated FPS across quality settings and resolutions
Search for your GPU above to see a full FPS breakdown at every quality and resolution.
while True: learn() 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 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4090 | 999 fps | 999 fps | 999 fps | 999 fps |
| RX 7900 XTX | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 5080 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4080 Super | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4070 Ti | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4070 | 999 fps | 999 fps | 999 fps | 999 fps |
| RX 7800 XT | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 3080 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4060 Ti | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 3070 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4060 | 999 fps | 999 fps | 999 fps | 970 fps |
| RTX 3060 | 999 fps | 999 fps | 999 fps | 831 fps |
| GTX 1660 Super | 999 fps | 927 fps | 742 fps | 603 fps |
1440p performance
| GPU | low | medium | high | ultra |
|---|---|---|---|---|
| RTX 5090 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4090 | 999 fps | 999 fps | 999 fps | 999 fps |
| RX 7900 XTX | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 5080 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4080 Super | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4070 Ti | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4070 | 999 fps | 999 fps | 999 fps | 999 fps |
| RX 7800 XT | 999 fps | 999 fps | 999 fps | 961 fps |
| RTX 3080 | 999 fps | 999 fps | 999 fps | 935 fps |
| RTX 4060 Ti | 999 fps | 999 fps | 999 fps | 883 fps |
| RTX 3070 | 999 fps | 999 fps | 991 fps | 805 fps |
| RTX 4060 | 999 fps | 999 fps | 895 fps | 727 fps |
| RTX 3060 | 999 fps | 959 fps | 767 fps | 623 fps |
| GTX 1660 Super | 869 fps | 695 fps | 556 fps | 452 fps |
4K performance
| GPU | low | medium | high | ultra |
|---|---|---|---|---|
| RTX 5090 | 999 fps | 999 fps | 999 fps | 999 fps |
| RTX 4090 | 999 fps | 999 fps | 999 fps | 999 fps |
| RX 7900 XTX | 999 fps | 999 fps | 999 fps | 970 fps |
| RTX 5080 | 999 fps | 999 fps | 999 fps | 914 fps |
| RTX 4080 Super | 999 fps | 999 fps | 999 fps | 859 fps |
| RTX 4070 Ti | 999 fps | 999 fps | 836 fps | 679 fps |
| RTX 4070 | 999 fps | 895 fps | 716 fps | 582 fps |
| RX 7800 XT | 986 fps | 789 fps | 631 fps | 513 fps |
| RTX 3080 | 959 fps | 767 fps | 614 fps | 499 fps |
| RTX 4060 Ti | 906 fps | 725 fps | 580 fps | 471 fps |
| RTX 3070 | 826 fps | 661 fps | 529 fps | 429 fps |
| RTX 4060 | 746 fps | 597 fps | 477 fps | 388 fps |
| RTX 3060 | 639 fps | 512 fps | 409 fps | 333 fps |
| GTX 1660 Super | 464 fps | 371 fps | 297 fps | 241 fps |
Where to buy
while True: learn()
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$12.99
Minimum Hardware
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Genres
About
while True: learn() is a 2019 indie simulation puzzle game that blends education with humor, casting you as a machine learning specialist competing against your surprisingly talented cat. The game challenges you to build neural networks and solve increasingly complex puzzles while working toward a cat-to-human translation system, all while unlocking quirky cat outfits and earning in-game wealth. Its unique premise and educational focus earned it a solid 75/100 rating.
The game is exceptionally accessible on PC, requiring only an entry-level GPU with a benchmark score around 96 and just 2 GB of RAM to run smoothly. Most modern integrated graphics and budget GPUs will handle while True: learn() without any issues, delivering solid FPS performance even on older systems. This isn't a graphics-intensive title, so you won't need to worry about demanding performance benchmarks or adjusting graphics settings—it runs well on virtually any gaming PC built in the last decade.
If you enjoy puzzle games with clever writing and educational mechanics, while True: learn() offers a refreshing experience that doesn't require cutting-edge hardware to enjoy. Its approachable difficulty and witty premise make it worth trying, especially if simulation games appeal to you.
Performance profile
January 2019 release. while True: learn() was built around the GTX 10-series / RX Vega era. Current-gen mid-range cards (RTX 4060 / RX 7600) are overkill at 1080p and handle 1440p Ultra comfortably.
Simulation titles like while True: learn() are heavily CPU-dependent — physics, AI and world state dominate the frame budget. Prioritise a CPU with strong single-thread performance and fast RAM over raw GPU power.
Extremely light — while True: learn() runs at 60 FPS 1080p on any integrated GPU (Intel Iris Xe, AMD Radeon Graphics) or a decade-old discrete card like the GTX 1050. A current-gen RTX 4060 pushes 4K Ultra without effort.
