Committed to connecting the world

  •  
ITU GSR 2024

ITU-T work programme

[2022-2024] : [SG16] : [Q5/16]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: F.748.18 (ex F.AI-DLEMT)
Subject/title: Metric and evaluation methods for AI-enabled multimedia application computing power benchmark
Status: Approved on 2022-12-14 [Issued from previous study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: -
Supporting members: -
Summary: Facing more and more diverse AI computing systems, users hope to have a unified evaluation metric for the system that provides AI computing power. The establishment of relevant real application performance evaluation benchmarks can objectively reflect the current state of the AI computing ability by providing objective metrics and comparison dimensions. This Recommendation provides an AI computing power benchmark framework, evaluation metrics and methods, and a guideline for technical testing for AI clusters.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Wenguang Chen, Editor
Zhixiang Ren, Editor
Tianhui Shi, Editor
Jidong Zhai, Editor
Weimin Zhang, Editor
ITU-T A.5 justification(s):
Generate A.5 drat TD
-
[Submit new A.5 justification ]
See guidelines for creating & submitting ITU-T A.5 justifications
First registration in the WP: 2021-11-12 09:33:30
Last update: 2022-11-09 10:18:26