Changes made:
- Updated premade presets for newer AMD APUs/CPUs and Framework Laptops
Reminder: The AMD and Intel backend for this application will be updated in the future, once 0Ring has been released and compatibility has been tested
Downloads:
Windows
Installer Download
Portable Download
UXTU ML Adaptive Mode Test 0.0.5 (Separate Application):
The purpose of this ML-based tool is to automatically tweak the CPU’s/APU’s/SmartShift power limit as you play. The CPU/APU/SmartShift algorithm allocates more power when the game becomes demanding and frame rates drop. If performance is well above your target, it reduces power draw to help keep temperatures and battery use in check while maintaining optimal performance.
The idea is based on how modern consoles, such as the Nintendo Switch and PS5, have predefined power profiles for specific performance ranges. This approach is enhanced by dynamically adapting in real-time using machine learning to tailor the performance to the device's characteristics for each game.
Advanced features/functionality in use:
- Uses a lightweight, real-time reinforcement learning algorithm to decide how to adjust power limits for best gaming performance and efficiency.
- Continuously monitors actual FPS, CPU/GPU usage, and temperatures, learning from real-world results instead of relying on preset rules.
- Tracks the effects of its power changes over time, so it learns what works (and what doesn’t) in different gaming scenarios.
- Dynamically balances between trying new power strategies and sticking with what it has already learned, based on how steady game performance is.
- Assigns rewards or penalties to past decisions based on long-term outcomes, not just instant results, which helps avoid unstable or jittery behaviour.
- Detects sudden changes in workload (like a new scene or a boss fight) and quickly adapts its strategy to suit new conditions.
- Responds aggressively if FPS drops well below the target, increasing power more quickly to recover smooth performance.
- Reduces power more aggressively (but not excessively) if FPS is far above the target, saving battery and reducing heat.
- Remembers average power preferences for each game, so it can start from an optimal point next time you play.
Framework Laptop 16 Demo: