Pad Code AI vs LLM Bench

Turn ideas into working code on iPad and iPhone. Pad Code AI brings an editor, local code runners, a terminal and project tools into one workspace. WRITE AND RUN Run C, C++, Python, JavaScript, TypeScript, Ruby, PHP, Lua and SQLite queries on your device with bundled compilers and interpreters. Use interactive input, command-line arguments and project files. Preview HTML and CSS projects. Language and library support depends on the included runtime. EDIT AND ORGANIZE Work with syntax highlighting, find in files, individual-file replacement, code folding and snippets. Open project folders through Files, manage multiple files, review Git changes, commit and push, and export projects as ZIP. SMARTER EDITING AND GIT SYNC Code completion suggests keywords, types and names from your file as you type, and works with VoiceOver. Pull changes from GitHub: edits made on both sides are merged line by line, and overlapping lines are marked for you to choose. Your projects also appear in the Files app. AI, WHEN YOU WANT IT Ask for explanations, refactoring ideas, tests or fixes. Review suggested changes before applying them. On-device AI requires a compatible system and device with Apple Intelligence enabled. Optional third-party AI requires your own credentials and an internet connection; availability varies by region. You choose what context to share. LEARN AND BUILD ANYWHERE Practice programming, try small scripts and develop project ideas. Local code execution works offline; Git network operations and remote AI require internet access. The interface is available in 20 languages. Support: https://phamhungtien.com/PadCodeAI PREVIEW SUPPORT Preview HTML, CSS and browser JavaScript with WebKit. Swift/SwiftUI, Metal and native OpenGL visual previews are not supported. Swift and other unsupported languages are editing-only. WORKSPACE AGENT With a compatible configured provider, the optional Workspace Agent can inspect code, create and edit text files, rename or delete files, and run supported code inside the project you open. Agent Changes shows saved changes, before/after diffs and Undo. The app checks for intervening edits before writing or restoring. You explicitly enable access and choose what context to share. Provider credentials are your own; multi-step requests may incur additional provider charges. This is a bounded project workflow, not an unrestricted system shell or package installer. New editor color themes and a refined interface. Git over HTTPS now supports GitHub, GitLab, Bitbucket and compatible servers, using standard repositories with branches, commits, stash, push and pull. Python can import compatible packages, including NumPy and pandas. Package downloads require internet; not every PyPI package is supported. Programs using only the bundled standard library can run offline. Improved language icons and links to video guides. Start faster with ready-to-run Python, web, C and JavaScript project templates.

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/