Download User Manual
AIBench User Manual [AIBench-UserManual]
AIBench Training Download
Please cite our technical report when you publish results that you have obtained with AIBench Training:
AIBench: An Industry Standard AI Benchmark Suite from Internet Services. [Paper, Bibtex]
Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye. Technical Report 2020. arXiv preprint arXiv: 2004.14690.
Full software packages of different implementations are available from the following links.
Download AIBench Training from BenchHub:
- AIBench Training (Component Benchmarks):
http://125.39.136.212:8090/AIBench/DC_AIBench_Component - AIBench Training (Micro Benchmarks):
http://125.39.136.212:8090/AIBench/DC_AIBench_Micro
Download Datasets
Table 1: The Summary of Data Sets
data sets | data size | |
1 | CIFAR-10 | 60000 color images with the dimension of 32*32 |
2 | ImageNet (1GB,10GB) | ILSVRC2014 DET image dataset(unstructured image) |
3 | LSUN | One million labelled images, classified into 10 scene categories and 20 object categories |
4 | MNIST | handwritten digits database which has 60,000 training examples and 10,000 test examples(unstructured image) |
5 | MovieLens Dataset | User’s score data for movies, which has 9,518,231 training examples and 386,835 test examples(semi-structured text) |
6 | WMT English-German | WMT English-German translation dataset |
7 | MS COCO2014 | A large-scale object detection, segmentation, and captioning dataset |
8 | Cityscapes | A new large-scale dataset that contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities |
9 | LibriSpeech | A corpus of approximately 1000 hours of 16kHz read English speech |
10 | VGGFace2 | A large-scale face recognition dataset |
11 | LFW dataset | A database of face photographs |
12 | Robot pushing dataset | 59,000 examples of robot pushing motions |
13 | ShapeNet Dataset | A richly-annotated, large-scale dataset of 3D shapes |
14 | Gigaword Dataset | Nearly ten million documents of the original English Gigaword Fifth Edition |
15 | Intellifusion data set | 77,715 samples from 253 face IDs provided by Intellifusion |
Download software
Download prerequisite software packages before using AIBench. Please refer to the user manual. The following packages should be installed firstly, and the running platform is Linux.
Software | Version | Download |
TensorFlow | 1.12 | https://www.tensorflow.org | PyTorch | 1.0.1 | https://pytorch.org |
GCC | 4.8.2 | http://gcc.gnu.org/releases.html |