Tick vs PulzeMark

Tick-O-Meter is a modern accuracy companion for people who genuinely love wristwatches — the quiet ritual of listening, measuring, and understanding how a timepiece behaves in real life. Whether you wear a high-end Swiss automatic, a vintage hand-wound classic, or a trusted daily quartz, Tick-O-Meter listens to the tick sound and estimates the daily deviation in seconds per day. The experience is designed to feel like a refined instrument: fast to use, reassuringly clear, and focused on what matters. FOR ENTHUSIASTS WHO CARE ABOUT PRECISION A great watch deserves careful attention. Tick-O-Meter helps you: - check performance after regulation or service - compare watches in your collection (mechanical, quartz, vintage, modern) - observe the effect of position, wear habits, and environment - gain confidence in everyday accuracy over time REAL-TIME ANALYSIS, CLEAR FEEDBACK During measurement you get live, readable instruments: - Accuracy estimate (s/d) - Beat rate (Hz) + BPH estimation - Consistency (σ) to judge stability - Live signal level (dB) - Clear analog-style gauges and a calm UI (Light + Dark Mode) TWO DEDICATED MEASUREMENT MODES Balance Wheel Mode (default) - For classic mechanical watches with a tick–tock pattern. Uniform Tick Mode - For quartz/electronic watches with identical, regular ticks. YOUR PERSONAL WATCH LIBRARY Save stable results and build structured profiles per watch. Tick-O-Meter automatically calculates long-term statistics per profile: - Average - Best - Worst - Consistency (σ) So the app becomes a long-term companion for your collection — not just a one-off tool. HISTORY, REPORTS, SHARING - Measurement history over time - Export detailed PDF reports - Share results instantly (perfect for documenting regulation changes or comparing positions) APPLE WATCH COMPANION Start/stop measurements remotely and view live status on your wrist — ideal when your phone is placed carefully against a watch or positioned near a clock. PRIVATE BY DESIGN - No ads, no accounts, no tracking - Audio analysis happens on-device - No audio recordings are stored - Core features work offline Tick-O-Meter is not a certified timing machine. It’s a thoughtfully engineered helper for enthusiasts who appreciate fine mechanics and want a practical, elegant way to understand watch performance in everyday life. 100% Swiss Made.

PulzeMark measures how fast your iPhone and iPad really are: CPU, storage, and on-device AI, all in one app. Every result is scored and compared against a live, anonymous, crowdsourced leaderboard, so you can see exactly where your device stands. ON-DEVICE AI BENCHMARK Download a free, open-source language model and run it entirely on your device. PulzeMark measures how many tokens per second your iPhone or iPad generates, plus prompt throughput and time to first token. No cloud, no account. Two engines, each with its own leaderboard: Apple-native MLX for peak performance, and GGUF (llama.cpp) with cross-platform leaderboards, where identical models put every device on the same board. Compare your device against others running the same model at the same output length. CPU AND REAL-WORLD TESTS Single-core and multi-core CPU, plus real workloads: integer and floating point math, cryptography, compression, photo processing, and UI layout. Scores share one unified scale across platforms, so equal numbers mean equal performance. You get a clear score and a live timeline of CPU usage and thermal state during the run. STORAGE SPEED Sequential and random read and write, with configurable file size, block size, and passes. See your real disk throughput in MB/s. COMPARE EVERYTHING Results are crowdsourced anonymously. Compare your device per category and per AI model, browse every device ever benchmarked, and explore the full cross-platform leaderboard on the web. PRIVATE BY DESIGN No sign-in, no tracking, no personal data. Submissions are anonymous: just the device model, scores, and raw metrics. FEATURES - CPU single-core and multi-core benchmarks - Real-world tests: photo processing and UI layout - Storage read and write, sequential and random - On-device LLM benchmark in tokens per second - Two AI engines: Apple-native MLX and cross-platform GGUF (llama.cpp) - Manage downloaded models and their storage from Settings - Live CPU and thermal monitoring during runs - Crowdsourced, anonymous leaderboards - Per-model AI comparison across devices - Shareable result cards - Works on iPhone and iPad Benchmark your device, then see how it stacks up against the world.