Contents
What does an OpenCL score mean?
OpenCL is a test of your GPU computational power. OpenCL has no relationship to the CPU – it’s negligibly related to your CPU performance but it generally measures your GPU power.
What is OpenCL performance?
OpenCL is an open standard that can be used to program CPUs, GPUs, and other devices from different vendors, while CUDA is specific to NVIDIA GPUs. Although OpenCL promises a portable language for GPU programming, its generality may entail a performance penalty.
What’s a good OpenCL score?
We recommend a PCMark 10 Productivity score 4500 or higher.
What’s the performance of OpenCL on a CPU?
The performance of general OpenCL applications on CPUs lags behind the performance expected by programmers considering conventional parallel programming models. The expectation comes from programmers’ experience with conventional programming models.
What is the purpose of the OpenCL language?
OpenCL – Open Computing Language Open, royalty-free standard for portable, parallel programming of heterogeneous parallel computing CPUs, GPUs, and other processors CPUs Multiple cores driving performance increases GPUs Increasingly general purpose data-parallel computing
What is the difference between OpenCL and OpenGL?
OpenCL is specifically crafted to increase computing efficiency across platforms, and OpenGL is a popular graphics API. This tutorial provides an overview of basic methods for resource-sharing and synchronization between these two APIs, supported by performance numbers and recommendations.
How to get the most out of OpenCL?
This document provides guidance to OpenCL™ developers who want to optimize applications running on Intel® processor graphics. Specifically, this document shows you how to minimize the memory footprint of applications and reduce the amount of copying on buffers in the shared physical memory system of an Intel® System on Chip (SoC) solution.