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Amperes 4- battery charge info

Amperes 4- battery charge info

CrioSoft LLC

Utilities$2.99v4.5.2
App Store
评分

4.4

638 条评分

星级

★★★★☆

最近更新

2026年3月24日

发布日期

2017年7月2日

更新内容

v4.5.2

Additional info added. fixes. Apple iWatch app added.

应用信息

开发者
CrioSoft LLC
分类
Utilities
价格
$2.99
版本
4.5.2
App ID
1245475416

简介

Take Control of Your Power with Amperes 4 Stop guessing why your phone is charging slowly. Amperes 4 is the ultimate diagnostic tool designed to help you test your charging setup, identify faulty hardware, and monitor your device's health with professional-grade precision. Key Features Battery Charging Rates: Get the mA and wattage data to see exactly how much juice is flowing into your battery. Hardware Comparisons: Side-by-side testing for wired vs. wireless chargers, power banks, and different cable types. Deep Data & Graphs: Visualize your charging sessions with detailed, interactive graphs that track performance over time. Global Benchmarking: Compare your charging speeds with other users online to see if your gear is performing at its peak. Intelligent Battery Alarms: Get notified the moment your battery reaches your desired level to help prolong its lifespan. System Vital Monitoring: Track thermal status, memory usage, and disk space alongside your battery metrics. Professional Testing Tools Customized Logging: Add notes about wire brands or charger models to your tests for future reference. Color-Coded Results: Intuitive UI instantly shows you if a charger is "Good," "Average," or "Bad." Exportable Data: Need the raw numbers? Export your test results for external analysis or record-keeping. Why Amperes 4? Whether you are testing a brand-new GaN charger, verifying a "fast-charging" cable, or troubleshooting a power bank, Amperes 4 gives you the transparency you need to keep your devices running efficiently. Stop wasting time with bad cables. Get the data. Get Amperes 4.

下载量预测

专业 · 预览

预估总下载量

64K43K128K
保守估计乐观估计

394

低 / 月

591

预估 / 月

1K

高 / 月

基于638 条评分
假设评分率1.0%
应用年龄108 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。