mycellm vs GenBench

Mycellm turns your iPhone or iPad into a node on a distributed AI inference network. Run open LLMs on your own hardware — no account, no telemetry, no cloud middleman. Use it three ways, and own every layer. LOCAL — ON YOUR DEVICE Load a model and run inference entirely on-device. Fully offline, airplane-mode friendly. On-device Privacy Guard scans prompts for secrets before anything hits the wire. TRUSTED DEVICES — YOUR OWN NETWORK Point your phone at a node you trust — your Mac Studio, your iPad Pro, your homelab — and run models far bigger than any single device could hold. Your phone stays light; a machine you own does the heavy lifting. No cloud. PUBLIC — THE FREE NETWORK Tap the public mycellm net: open models served by GPUs worldwide. Earn credits by serving spare compute, spend them to run larger models. Peer-to-peer, no subscription. FEDERATE Stand up your own network with its own trust policy and credit ledger, mint invite tokens, and bridge trusted networks with cross-network routing. You decide membership, models, and data flow. UNLEASH THE iPAD PRO An iPad Pro (M4/M5) is a serious AI machine that sits idle most of the day. Put it to work: more unified memory runs larger models, Metal delivers 30+ tok/s on multi-billion-parameter models. Serve your iPhone, your team, or the network — first-class on any device that runs a model. FOR PEOPLE WHO RUN THEIR OWN STACK - Serves the same chat-completions REST API your tools already speak — point curl, Claude Code, or your own clients at your device. - Vision models: attach an image and ask, on-device. - Live dashboard: tok/s, credits, peers, node health. - Auto hardware-fit: picks quantizations that match your RAM. - Open source, Apache 2.0. Audit it, fork it, run it. No black boxes, no lock-in. It's BitTorrent for LLMs — every node both uses the network and makes it stronger. Full docs and use cases at mycellm.dev. Bring your own models, keep your data, and run AI on your terms.

GenBench lets you download, run, and benchmark open-source AI models entirely on your device — no servers, no subscriptions, no data leaving your phone. WHAT YOU CAN DO • Download models directly from Hugging Face in one tap • Chat with AI models completely offline and private • Benchmark speed: tokens per second, first-token latency, memory usage • Compare performance across different models • Submit scores to the global leaderboard and see how your device ranks • Share results with friends WHY GENBENCH Your iPhone has a powerful Neural Engine and GPU — GenBench shows you exactly what it can do. Whether you're a developer choosing a model for your app, a researcher testing quantizations, or just curious how fast AI runs on your hardware, GenBench gives you real numbers in seconds. PRIVACY FIRST Everything runs locally. Your prompts never leave your device. No account required. Leaderboard submissions are anonymous — only your score, model name, and device type are shared. SUPPORTED MODELS Works with GGUF-format models including Llama, Mistral, Phi, Gemma, Qwen, and more. Supports text and vision models.