![]() by joining Phoronix Premium.īack to the weekend Linux hardware testing work and benchmarking. To suggest your own tests, see the earlier article about how to be most effective in promoting Linux hardware testing - a.k.a. In the few days I've been testing thus far, there are no issues like what was encountered for Broadwell on Ubuntu.Īs soon as tomorrow I should start the flow of initial Intel Skylake Linux benchmarks looking at the CPU performance, comparing the new HD Graphics compared to different solutions on Linux, seeing the performance between Ubuntu and Fedora each with different kernel revisions, etc. Even Ubuntu 15.04 with the stock Linux 3.19 kernel and Mesa 10.5.2 is running fine for Skylake. 6 HD / 4GB RAM / 512GB SSD / Win 10 Pro 34P91ES Silver Processor Brand: Intel Processor Family: Intel Core i3 Processor Code. The good news for the i5-6600K Skylake (and presumably the i7-6700K too, but waiting to test that model) is these newer processors do play happily on Ubuntu 15.04. While similar kernels were used, Fedora for whatever reason didn't run into any stability issues with the i7-5775C Broadwell. I found a partial workaround but the easiest solution was switching over to Fedora. Continue to the next section to install additional dependencies.As a quick update to Intel Core i5 6600K Skylake CPU Arrives: What Linux Tests Would You Like To See?, this brand new processor is playing nicely on Ubuntu Linux.Įarlier this summer when testing Intel's Broadwell Core i7 5775C socketed processor on Linux, I was running into issues on Ubuntu Linux that I didn't encounter with a Broadwell NUC nor any Broadwell ultrabooks. To check Release Notes please visit: Release Notes. Check the installation process on the image below:īy default, the Intel® Distribution of OpenVINO™ is installed to the following directory, referred to as elsewhere in the documentation:įor root or administrator: /opt/intel/openvino_/įor regular users: /home//intel/openvino_/įor simplicity, a symbolic link to the latest installation is also created: /opt/intel/openvino_2022/ or /home//intel/openvino_2022/. During the installation you will be asked to accept the license agreement. Among others, you can find there -s option which offers silent mode, which together with -eula approve allows you to run whole installation with default values without any user inference.įollow the instructions on your screen. To get additional information on all parameters that can be used, use the help option: -help. Hello NV12 Input Classification C++ SampleĪutomatic Speech Recognition Python* Sample Image Classification Async Python* Sample Quantization Aware Training with NNCF, using TensorFlow Framework Post-Training Quantization with TensorFlow Classification Modelįrom Training to Deployment with TensorFlow and OpenVINO Quantization Aware Training with NNCF, using PyTorch framework ![]() ![]() Style Transfer on ONNX Models with OpenVINO Live Inference and Benchmark CT-scan Data with OpenVINO Image Background Removal with U^2-Net and OpenVINO Photos to Anime with PaddleGAN and OpenVINO Super Resolution with PaddleGAN and OpenVINO Single Image Super Resolution with OpenVINO Optical Character Recognition (OCR) with OpenVINO Quantization of Image Classification Models Quantize a Segmentation Model and Show Live Inference Quantize NLP models with OpenVINO Post-Training Optimization Tool Ĭonvert a PaddlePaddle Model to ONNX and OpenVINO IR Post-Training Quantization of PyTorch models with NNCFĬonvert a PyTorch Model to ONNX and OpenVINO IR Configurations for IEI Mustang-V100-MX8-R10 card
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