Introduction to Governance Whitepaper James Burns April 2015 Version 1.2. Drive Velocity - to realise rapid time-to-value, customers need to prioritize the. Depending on the size, scope, customer culture, and state of the project, there will be a number of.
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MachineProfile collects key technical hardware information about your Mac that's not easily found elsewhere or by clicking through the tabs in 'About This Mac…'. Get that information now with MachineProfile, before you need to use it.
MachineProfile is especially valuable when reviewing system compatibility or when sharing your Mac's system information with others. MachineProfile displays the technical profile of a Mac in a single window, which can then be saved as Text or PDF or emailed to others. Using MachineProfile, it's easier to find your Mac's serial number, processor speed, if you're running in 64 bit or 32 bit mode, whether you can run the next version of the macOS, and more.
While MachineProfile is geared for all users who want quick access to the technical aspects of their Mac, first-time users can use MachineProfile to easily learn more about their system hardware. Macintosh consultants will also find it useful for assisting Mac users with maintaining and troubleshooting their systems.
MachineProfile includes:
System Requirements:
MachineProfile displays your Mac's technical profile information within a single window.
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MachineProfile now includes a new feature called, Drive Info. This new option in MachineProfile was a highly suggested feature to the application and provides technical information about the drives connected to your Mac.
Do you own a Mac notebook computer and are curious to know the condition of internal battery? MachineProfile not only displays this information it also lists other key features of the internal battery.
Maybe you have an uninterrupted power source (UPS) connected to your Mac via USB? We will display the power statistics for it as well.
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And available for free from Apple's Mac App Store.
Since 2017, Mobile devices enable AI capability by adopting advance deep learning model and powerful chips. Huawei Kirin970, Apple Bionic A11, and Mediatek P60 provide dedicate AI processor to achieve high performance and power efficient for mobile phones. Mobile phone vendor also develops several AI application to utilize this AI processor. NeuralScope App is a deep learning benchmarking tool for Android smartphones.
You can check the deep learning computing performance of your device.In the NeuralScope Benchmark, there are three common computer vision deep learning categories, classification, detection, and segmentation.Classification - The deep learning based neural networks are able to recognize object classes for one or more given input photos. They can recognize 1000 different object classes. There are four models, mobilenet-V1, mobilenet-V2, Resnet-50, and Inception-V3, in our benchmarking App. Individually, we provide one float model and one quantized model for each network.Detection - Now, you can perform object counting on your phone. The model we use is a combination of mobilenet, a light-weight classification model, and single shot multibox detector(SSD), an object detector does not resample pixels or feature maps for bounding box hypotheses, can detect 80 different object classes. It improves in speed for high-accuracy detection.Segmentation - The task evaluates whether you can perform auto background removing for exchange scene on your phone.
It can recognize 20 different object classes and segment the recognized object using different colors. The model is resnet-50 with atrous convolution layers embedded.The NeuralScope Benchmark is a very useful tool that lets you check your devices whether they are deep learning computing supported.
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January 2023
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