Can I Run Machine Learning: Episode I?
Machine Learning: Episode I is a first person arcade puzzle game built for HTC Vive. You play as an A.I. robot created in DARPA laboratory in the near future. One of the scientists is here to test you...
Can your PC run it? →System requirements
Minimum requirements
| CPU | Core i5 |
|---|---|
| GPU | Geforce GTX970 |
| RAM | 8 GB |
| Storage | 0.55 GB HDD |
| DirectX | Version 11 |
Recommended requirements
| CPU | Core i7 |
|---|---|
| GPU | Geforce GTX980Ti |
| RAM | 12 GB |
| Storage | 0.55 GB HDD |
| OS | Windows 10 |
| DirectX | Version 11 |
Single source, verify with the publisher source
Scores are deterministic, computed by fixed rules and benchmark tables, not written by an AI. How we score. Maintained by Farhad Ali. Spotted a wrong specification? Tell us.
Can you run Machine Learning: Episode I?
Older hardware holds up here: Machine Learning: Episode I runs on modest graphics, with Geforce GTX970 enough to meet the minimum. Add 8 GB of RAM and a mid-range CPU and a PC several years old will play it fine.
Bottleneck: GPU
Projected by resolution
| Resolution | Projection | Headroom |
|---|---|---|
| 1080p | Runs well | 1.48x |
| 1440p | Below the bar | 0.83x |
| 4K | Below the bar | 0.37x |
A projection, not a measurement. We scale the published GPU requirement by pixel count, since 1440p draws 1.78 times the pixels of 1080p and 4K draws 4 times as many, then compare against RTX 3060 / Ryzen 5 build. The publisher did not state a target resolution, so 1080p is assumed as the baseline. We hold no frame rate data, so no FPS figure is claimed. Headroom above 1 means the reference machine has room to spare at that resolution.
Common GPUs
| Graphics card | Verdict |
|---|---|
| GTX 1060 6 GB | Runs well |
| GTX 1060 Laptop | Runs well |
| GTX 1650 4 GB | Playable |
| GTX 1650 Laptop | Playable |
| RTX 2060 6 GB | Runs great |
| RTX 2060 Laptop | Runs great |
| RTX 3060 12 GB | Runs great |
| RTX 3060 Laptop | Runs great |
| RTX 4060 8 GB | Runs great |
| RTX 4060 Laptop | Runs great |
| RTX 3070 8 GB | Runs great |
| RTX 3070 Laptop | Runs great |
| RTX 4070 12 GB | Runs great |
| RTX 4070 Laptop | Runs great |
| RX 6600 8 GB | Runs great |
Each card is compared against Machine Learning: Episode I's published GPU requirement, assuming an otherwise-capable PC. Laptop rows use the real mobile chip's benchmark, a mobile GPU is always slower than its desktop namesake.
Find more you can run
See everything your PC can run →Frequently asked questions
Can my PC run Machine Learning: Episode I?
Upload your DxDiag file to Idxdiag's free checker and get a component by component compatibility verdict for Machine Learning: Episode I in seconds. No install required.
What are the minimum system requirements for Machine Learning: Episode I?
The minimum requirements are CPU: Core i5; GPU: Geforce GTX970; 8 GB RAM.
How much storage does Machine Learning: Episode I need?
Machine Learning: Episode I needs about 0.55 GB of HDD storage.
Can an RTX 3060 run Machine Learning: Episode I?
The RTX 3060 runs Machine Learning: Episode I comfortably, clearing the title's GPU requirement with room to spare.
What is the bottleneck for Machine Learning: Episode I?
On a typical modern PC (Ryzen 5 5600, RTX 3060, 16 GB RAM), the tightest component for Machine Learning: Episode I is the GPU.