Serial Number
97440876
Owner
MLCOMMONS ASSOCIATIONAttorney
Yvonne E. TingleafFirst Use Date
May 7, 2018
Filing Date
Jun 2, 2022
MLPERF Trademark
Serial Number: 97440876 • Registration: 7221602
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Class 35 - Advertising & Business
Advertising; business management; business administration; office functions
Owner Contact Info
Legal Representation
Correspondence Address
Yvonne E. Tingleaf SCHWABE, WILLIAMSON & WYATT, P.C.
1211 SW Fifth Avenue, Suite 1900
Portland, OR 97204
United States
Trademark Details
Filing Date
June 2, 2022
Registration Date
November 21, 2023
First Use Anywhere
May 7, 2018
First Use in Commerce
May 7, 2018
Published for Opposition
September 5, 2023
Goods & Services
Downloadable computer software and mobile application for testing devices and servers for compliance with machine learning requirements; Downloadable computer software for measuring machine learning training accuracy, speed, performance, and efficiency in devices and servers; Downloadable computer software and mobile application for measuring machine learning inference accuracy, speed, performance, and efficiency in devices and servers; Downloadable computer software and mobile application for measuring mobile device and embedded device machine learning accuracy, speed, performance, and efficiency
Business services, namely, formulation of best practices for machine learning to accelerate progress in the field of machine learning; Collection and analysis of quality metric data and performance data for business purposes in the field of machine learning; Collection, and analysis of quality metric device and test data and performance device and test data pertaining to machine learning, namely, compiling and analyzing statistics, device test data, and server test data for business purposes; Providing business information in the nature of data sets pertaining to machine learning; Providing business data in the field of machine learning data for business purposes; Providing business information in the nature of benchmarking information in the field of machine learning for use to measure accuracy, speed, performance, efficiency; Business services, namely, formulation of best practices in the field of machine learning for use to measure accuracy, speed, performance, efficiency
Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of devices and servers pertaining to machine learning training accuracy, speed, performance, and efficiency; Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of devices and servers pertaining to machine learning inference accuracy, speed, performance, and efficiency; Design and development of technical specifications in the nature of technology specifications, namely, analyzing technology requirements and developing recommendations for the computer software and systems and other technology needed to meet these requirements in the field of mobile device and embedded device machine learning accuracy, speed, performance, and efficiency; Design and development of software and software in the field of mobile applications in the field of machine learning; Design and development of software and software in the field of mobile applications for testing devices and servers; Design and development of software and software in the field of mobile applications for testing devices and servers for compliance with machine learning requirements; Product quality testing of software in the field of machine learning; Product quality testing of computer hardware and hardware devices in the field of machine learning; Product quality testing of mobile devices and servers; Providing information in the field of software development in the field of machine learning; Providing information in the field of software development in the field of machine learning data; Providing information in the field of software development in the field of rules, references, and tools pertaining to machine learning