OpenHome vs MLX Benchmarks

OpenHome is a voice AI speaker you actually own. This companion app handles setup and gives you full control over your DevKit. Setup your DevKit in minutes Scan for nearby OpenHome devices over Bluetooth. Connect your DevKit to WiFi with real-time signal strength indicators. Audio confirmations let you know each step succeeded. Sign in with Google to link your OpenHome account and sync your API key to the device automatically. Control your device Switch between Personalities you've built on app.openhome.com. Adjust speaker volume. Update WiFi credentials when you move locations. Restart your agent without touching the hardware. Built for tinkerers and developers OpenHome is open-source voice AI infrastructure. Bring your own speech providers. Build custom Abilities that call APIs, control IoT devices, or run multi-step workflows. This app is your remote control for hardware you own and software you configure. What you need An OpenHome DevKit (Raspberry Pi Zero 2W or better running OpenHome OS), a Bluetooth speaker, a USB microphone, and an OpenHome account at app.openhome.com. Questions? Contact support@openhome.com

MLX Benchmark helps you understand how large language models perform on your hardware. Select a model and quantization, set context length and iterations, and run repeatable benchmarks that capture load time, tokenization time, time to first token, throughput, memory usage, and jitter. View detailed metrics grids, visualize comparisons in charts, and manage downloaded model repos directly in the app. Built for developers and AI enthusiasts who want clear, on-device performance insights without leaving their device. Features: - Model selection with quantization details - Configurable prompt, context length, and iterations - Metrics for load, tokenization, first-token latency, throughput, jitter, and memory - Charts to compare runs and devices - Downloaded model management (list, delete, refresh) - Optional Supabase upload for aggregating benchmark results