QuietGlass vs BaseRT - Apple M5 Optimized
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 BaseRT - Apple M5 Optimized leads with 250 upvotes
Screen privacy for your Mac, with or without AirPods
QuietGlass is a free, open-source Mac application designed to enhance screen privacy effortlessly. It offers users the ability to blur or hide specific areas of their screen, protecting sensitive information from prying eyes. Unique features include integration with AirPods for look-away privacy and camera-based alerts that detect when someone else is in view, prompting you to take action or automatically blurring the screen. Built with native Swift code and optimized for macOS 14+, QuietGlass provides smooth performance and seamless privacy controls, including focus mode for active window clarity and owner recognition to ensure only you can disable protections. Its compatibility with notch controls makes it well-suited for modern MacBooks, offering a comprehensive privacy solution for professionals, remote workers, and anyone concerned about screen security.
Pros
- Open-source and free, offering transparency and community support
- Advanced privacy features like camera-based face detection and owner recognition
- Native Swift implementation ensures smooth performance on macOS 14+
- Supports specific areas and window focus modes for tailored privacy
- Integrates with AirPods for look-away privacy when needed
Cons
- Limited to macOS 14+ and Mac hardware, reducing compatibility with older systems
- Features may require some configuration for optimal use
- Currently lacks extensive user documentation or community resources
Best for
- • Securing sensitive work data during video calls or screen sharing
- • Protecting confidential information when working in public or shared spaces
- • Automatically blurring private windows or text during screen recordings
- • Using AirPods to discreetly look away from the screen during meetings
Pricing: Pricing not verified
6.4x faster than llama.cpp, 3.9x faster than MLX
BaseRT is emerging as the premier runtime for running large language models (LLMs) on Apple Silicon devices, delivering unprecedented speed and efficiency. Optimized specifically for Apple's M5 chip, it claims to be 6.4 times faster than llama.cpp and 3.9 times faster than MLX, making local AI processing more practical and accessible. Users ranging from developers and AI researchers to hobbyists can install BaseRT with a single command, enabling them to run powerful models directly on their Mac or other Apple devices without relying on cloud infrastructure. Its focus on open-source technology and performance optimization makes it particularly appealing for those seeking to leverage AI locally while maximizing hardware capabilities. The tool's ease of use combined with its speed advantages positions it as a game-changer for local AI deployment on Apple Silicon, unlocking new possibilities in AI development, experimentation, and deployment.
Pros
- Exceptional speed optimized for Apple Silicon, significantly reducing model inference times
- Easy installation with a one-command setup process
- Open source, fostering community contributions and transparency
- Runs models locally, ensuring data privacy and control
- Designed specifically for Apple M5 hardware, maximizing hardware utilization
Cons
- Limited to Apple Silicon devices, restricting cross-platform compatibility
- Relatively new, which may mean fewer community resources or integrations
- Lacks detailed documentation or user guides at launch
Best for
- • Running local large language models for AI research and experimentation
- • Developing and testing AI applications without cloud dependencies
- • Embedding AI features into Mac-based software or workflows
- • Data privacy-focused AI deployments within Apple ecosystems
Pricing: Likely open source and free to use, as it is positioned as a high-performance runtime optimized for Apple Silicon. No commercial licensing or subscription details are currently specified.