显存测试工具_PCMark 10( PC基准性能测试工具 )中文版分享

PCMark 10是一款全面的PC性能测试工具,提供主要基准测试、快速测试和扩展测试,涵盖了日常应用、生产力和内容创作等方面。这款工具通过简化测试流程,帮助用户快速了解电脑性能。本文还提供了PCMark 10的安装教程和功能详解。

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PCMark 10是一款非常强大的PC基准性能测试工具,拥有一整套全面的测试项,涵盖了现代办公场所中的各种任务,包括一系列性能测试、自定义运行选项、电池寿命数据图表和存储基准测试。使用基于实际应用程序与活动的测试项,全面测评该系统性能对现代办公需求的满足程度。使用它运行任何基准测试,用户都可以获得一组相对比较系统的分数,并且每项运行的基准测试都会生成高层级的基准测试分数、中层级的测试组分数以及低层级的工作负载分数。让用户能够更直观的看到自己的电脑性能。同时PCMark 10测试可选三种方式:主要基准测试:通过广泛的测试项目,从常用基本功能、生产力相关应用程序,到较繁重的数码媒体工作内容,测量性能。Express精简测试:一个较短的基准测试,专注于基本的家用电脑使用,包括常用基本功能和生产力测试组合。Extended扩展测试:扩展了主要的基准评测,通过苛刻的游戏测试测量GPU和CPU性能,全面反映PC性能表现。

PS:今天给大家带来的是PCMark(PC基准性能测试工具)10中文版,详细的安装教程和软件功能在下文中,希望可以帮助到用户。

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安装教程

www.downkuai.com/soft/120209.html

1、下载解压后,得到以下文件,双击文件夹"主程序"内的"pcmark10-setup.exe"开始安装

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2、选择简体中文

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3、同意许可条款,下一步

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4、选择软件安装路径。

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5、正在安装,耐心等待

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6、安装成功后,先不要运行软件,以管理员身份运行压缩包文件"注册机"内的"kg.exe"

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7、选择对应产品后点击下方"Generate"。

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8、激活成功,所有功能均已解锁

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软件功能

1、测试场景

由于和Futuremark良好的关系,每一代PCMark升级之时都会邀请我们尝鲜,这次也不例外。作为整套平台级别的体验评分系统,PCMark系列一身身负很高的使命。正如Futuremark在官方描绘的:如果体验相差无几,但是能够为客户在每套平台上省下50美元,对于一家企业来说都是重大利好。正是因为这层原因,造就PCMark8、PCMark10的第一个区别:以往的PCMark8无论是测试项目或是测试场景都非常详细、多样:包括家用、装作、工作、存储和应用五个测试模式,而新版的PCMark10所有的测试模式只有三个:完整测试、快速测试,和拓展测试三种。不要误会,我们在测试的使用已经激活使用,即显示为专业版。因此相比PCMark8的高度细节化的测试,PCMark10将所有的项目集中在区区场景中。可不要小看从“五”到“三”中间的距离,我们会在接下来一步步为大家展示PCMark10在测试的便捷方面有多少进步。

2、操作界面

无论是PCMark,还是在开篇提到的3dmark,作为Futuremark的名片是产品,他们的设计风格都继承的很好,简洁、清晰。所不同的是,新版的PCMark10明显在界面上与3DMark高度保持一致。从你完成安装之后第一次进入界面开始,简洁直接的界面绝对不会有让你迷路的可能。

如同3DMark分为四个标签页:主页界面、测试细分界面、测试结果界面和设置界面,PCMark10对此完全借鉴,首页的完整测试如同椰树椰汁广告一样清晰,次页的测试细分界面包含完整测试(Complete Benchmark)、快速测试(Express Benchmark)、拓展测试(Extended Benchmark),后面的自然是测试结果详情页,以及最后的测试界面。

3、测试项目

测试项目是PCMark8、PCMark10之间差异非常大的一点。在前者的五种测试场景中,逐个场景当中的项目在很大程度上是不同的,例如家用测试主要聚焦在网页浏览、文档处理、轻负载游戏,而后续的其他测试则聚焦与完全不同的项目,彼此之间是没有太大联系的,例如存储测试是对指定分区进行写入和读取测试,而应用测试甚至需要硬盘上安装有如photoshop等软件才能进行。

4、从上到下是基本操作、生产力操作

而在进阶的完整测试(Complete Benchmark)当中,则要多出一项数字化内容创作(Digital Content Creation)的类别,其中包含图片和视频编辑,以及动画渲染建模(Rendering and Visualization)等进阶测试。

PCMark10抢先试用体验:走向便捷、轻松与统一化

而测试内容最多样的拓展测试(Entended Benchmark)则要在完整测试的基础上增加图形性能测试,而这部分其实就是完整的3DMark FireStrike测试,两道图形测试,一项物理测试和最后的一项综合测试相信各位玩家已经是非常熟悉。

5、测试时间

PCMark8的创作测试完整跑一圈测试需要非常久的时间,往往在一个小时左右。而如果没有使用SSD测试时间可能长至两个小时甚至更长,但是在PCMark10当中测试时间被非常大程度的缩短,按照测试日志的记录,完整测试只需要26分钟,而快速测试只需要18分钟,就算是内容最多的拓展测试也只需要29分钟就能完成。至于SSD的问题,从我们测试的时间来看,使用SSD并不会明显让测试跑得更快。

PCMark10抢先试用体验:走向便捷、轻松与统一化

6、配置要求

虽然Futuremark没有像往常一样在官网公布配置要求情况,但是我们还是在下载的时候在支持PDF文件中可以看到PCMark10的硬件入门要求:运行在64-Bit Windows 7 SP1、双核处理器,4GB内存,至少拥有1GB显存、支持DirectX 11标准的显卡,硬盘空间需要6GB以上。

Python Testing Cookbook Paperback: 364 pages Publisher: Packt Publishing (May 17, 2011) Language: English ISBN-10: 1849514666 ISBN-13: 978-1849514668 Over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools Learn to write tests at every level using a variety of Python testing tools The first book to include detailed screenshots and recipes for using Jenkins continuous integration server (formerly known as Hudson) Explore innovative ways to introduce automated testing to legacy systems Written by Greg L. Turnquist – senior software engineer and author of Spring Python 1.1 Part of Packt’s Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible In Detail Are you looking at new ways to write better, more efficient tests? Are you struggling to add automated testing to your existing system? The Python unit testing framework, originally referred to as “PyUnit” and now known as unittest, is a framework that makes it easier for you to write automated test suites efficiently in Python. This book will show you exactly how to squeeze every ounce of value out of automated testing. The Python Testing Cookbook will empower you to write tests using lots of Python test tools, code samples, screenshots, and detailed explanations. By learning how and when to write tests at every level, you can vastly improve the quality of your code and your personal skill set. Packed with lots of test examples, this will become your go-to book for writing good tests. This practical cookbook covers lots of test styles including unit-level, test discovery, doctest, BDD, acceptance, smoke, and load testing. It will guide you to use popular Python tools effectively and discover how to write custom extensions. You will learn how to use popular continuous integration systems like Jenkins (formerly known as Hudson) and TeamCity to automatically test your code upon check in. This book explores Python’s built-in ability to run code found embedded in doc strings and also plugging in to popular web testing tools like Selenium. By the end of this book, you will be proficient in many test tactics and be ready to apply them to new applications as well as legacy ones. A practical guide, this cookbook will ensure you fully utilize Python testing tools to write tests efficiently. What you will learn from this book : Get started with the basics of writing automated unit tests and asserting results Use Nose to discover tests and build suites automatically Write Nose plugins that control what tests are discovered and how to produce test reports Add testable documentation to your code Filter out test noise, customize test reports, and tweak doctest’s to meet your needs Write testable stories using lots of tools including doctest, mocks, Lettuce, and Should DSL Get started with the basics of customer-oriented acceptance testing Test the web security of your application Configure Jenkins and TeamCity to run your test suite upon check-in Capture test coverage reports in lots of formats, and integrate with Jenkins and Nose Take the pulse of your system with a quick smoke test and overload your system to find its breaking points Add automated testing to an existing legacy system that isn’t test oriented Approach This cookbook is written as a collection of code recipes containing step-by-step directions on how to install or build different types of Python test tools to solve different problems. Each recipe contains explanations of how it works along with answers to common questions and cross references to other relevant recipes. The easy-to-understand recipe names make this a handy test reference book. Who this book is written for Python developers and programmers with a basic understanding of Python and Python testing will find this cookbook beneficial. It will build on that basic knowledge equipping you with the intermediate and advanced skills required to fully utilize the Python testing tools. Broken up into lots of small code recipes, you can read this book at your own pace, whatever your experience. No prior experience of automated testing is required.
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