ai.local vs LLM Bench

Create your own Local LLM Server app, designed to bring advanced language models directly to your iOS device. The server supports an Ollama-style API, so you can use your preferred LLM UI. Key Features: - Privacy-First Design: Run your own local LLM server directly on your device, keeping your data private and secure. - Vast Model Selection: Choose from a wide range of language models tailored to different needs. - Easy Setup: Start and manage your local server with a user-friendly interface. - Offline Capabilities: Use AI even when you're offline, with all processing happening locally on your device. - Built-in Web View: Display a web page while the server is running. Why Choose Local LLM Server? Preserve your privacy. Your data stays on your device, giving you full control over your information. Note: This app requires a compatible iOS device with enough processing power to run local language models effectively (such as iPhone 15 Pro or any iPhone 16 model).

LLM Bench is an iOS test bench for developers comparing on-device LLM behavior under real device constraints. Run the same prompt against selected local model targets and compare the evidence before choosing what belongs in your app. LLM Bench focuses on practical signals: load time, first output time, generation time, output speed, memory, thermal state, model readiness, raw output text, failures, and saved run history. Use LLM Bench to: - Compare GPU-capable local model runs on iPhone and iPad. - Run repeatable prompts against selected model targets. - Inspect model output, timing, memory, and thermal state in one place. - Save benchmark runs for later review. - Export benchmark evidence as CSV. - Add models from Hugging Face URLs, direct file URLs, or local imports when the artifact format is supported. LLM Bench is built for technical builders who want a compact measurement tool, not a leaderboard or generic AI chat app. It helps you answer the practical question: which local model behaves well enough on this device for this use case? The free tier includes one completed benchmark run. Subscribing unlocks ongoing benchmarking, saved comparison work, and export workflows. Premium is available as an auto-renewing subscription (monthly or yearly), or a one-time Lifetime purchase. Payment is charged to your Apple ID at purchase; subscriptions renew automatically unless canceled at least 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Privacy Policy: https://thedandano.github.io/michilotl-studios-docs/apps/llm-bench/privacy/ Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/