【人工智能】针对流行的卷积神经网络模型在CPU和不同GPU上进行的基准测试 Benchmarks for popular convolutional neural network model_卷积神经网络 运行在cpu

本文介绍了针对流行的卷积神经网络模型在CPU和不同GPU上进行的基准测试。

卷积神经网络是一种深度学习模型，常用于图像识别、自然语言处理等任务。
CPU是中央处理器，是计算机的主要处理器。
GPU是图形处理器，专门用于图形计算和并行计算，因此在深度学习中也常被用于加速计算。

基准测试是一种用于评估计算机性能的测试方法，通常通过运行特定的计算任务来衡量计算机的处理能力。

cnn-benchmarks

Benchmarks for popular convolutional neural network models on CPU and different GPUs, with and without cuDNN.

Some general conclusions from this benchmarking:

• Pascal Titan X > GTX 1080: Across all models, the Pascal Titan X is 1.31x to 1.43x faster than the GTX 1080 and 1.47x to 1.60x faster than the Maxwell Titan X. This is without a doubt the best card you can get for deep learning right now.
• GTX 1080 > Maxwell Titan X: Across all models, the GTX 1080 is 1.10x to 1.15x faster than the Maxwell Titan X.
• ResNet > VGG