Apps by FLORIN CRISTIAN NEMES
PulzeMark app icon

Utilities

PulzeMark

FLORIN CRISTIAN NEMES

Free download In-app purchases unconfirmed
Open on Apple

About this app

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.

Latest release

What’s New

Version 1.1.0 Aug 4, 2026

NEW: cross-platform GGUF engine (llama.cpp). Download and benchmark GGUF models alongside Apple-native MLX, each on its own leaderboard, with GGUF results comparable cross-platforms. NEW: Manage Downloaded Models in Settings: see how much space each model uses, delete one, or clear them all. NEW: The floating monitor card is now draggable, and tapping it jumps straight to the running benchmark. NEW: Get a heads-up when a newer version of PulzeMark is available. IMPROVED: A clear "Loading model into memory" phase shows before generation starts on large models. IMPROVED: Scoring recalibrated for consistency across devices and platforms. Multi-Core scores may read lower than before; leaderboard comparisons stay fair because everyone is measured the same way. IMPROVED: Benchmarks now stop safely if the app moves to the background, protecting score accuracy. FIXED: More accurate prompt speed measurement for GGUF models. FIXED: iPhone XS, XS Max, XR and 2018-2020 iPads now show their proper names in Device Info.

Audience growth

Ratings growth

Steady
7-day gain +0
Ratings / day 0.0
30-day gain +0
US rating-count history
0 ratings
0 Aug 20, 2026 · 0 ratings Aug 20, 2026

Baseline captured. Growth appears after the crawler observes a changed rating count.

Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.

Price tracking

Price intelligence

1 captured event
Current Free
Historical low Free
Paid → free
Price history
Current Free
Free Aug 20, 2026 · Free Aug 20, 2026

First snapshot captured. The trend line starts after the next crawler price observation.

  1. First observed Aug 20, 2026 · 2:24 PM Free

Screenshots

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