MediaShair 2 vs MLX Benchmarks

“MediaShair 2” is a software application for use with the IOGEAR MediaShair Wireless Media Hub • Supports iOS 7.0 and above • Streams movies, music, photos and documents from the MediaShair Hub to several devices including iPod, iPhone, iPad, laptops, etc. • Displays DLNA Media thumbnails for video, photo, music and documents Ÿ• Supports search function based on DLNA media Ÿ• Supports file list/thumbnail view with ID3, support sharing operation for photos, music and documents Ÿ• Supports copy/cut/delete/create/rename operation and supports local/Wi-Fi Storage data transmission between • Supports photo slideshow with background music playing Ÿ• Supports music artwork shows, repeat mode setting, time line drag operation • Supports network and device parameter configuration Ÿ• Supports audio formats: .mp3, .aac, .m4a, .wav, .aiff Ÿ• Supports video formats: .m4v, .mp4, .mov Ÿ• Supports image formats: .jpg, .tiff, .bmp, .gif(image) Ÿ• Supports document formats: .key, .numbers, .page, .xls, .xlsx, .doc, .docx, .pdf, .txt, .ppt, .pptx Ÿ• Supports NTFS, HFS+, and FAT32 formatted USB storage • Supports “Open With” feature; long press file names to open in compatible third-party apps • Supports wired and wireless network connection to enable Internet access for devices connected to MediaShair Hub’s Wi-Fi network • Supports use with compatible third-party video players to playback non-native video formats such as .avi, .mkv, etc. • Supports bulk file transfer- large numbers of files between attached storage devices • Supports VPN pass through for network connections • Supports photo slideshow with background music playing • Supports email and upload to Facebook function for documents and photos • Support uploading videos (recorded on your device) and photos from Camera Roll to attached USB or SD card storage

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