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GB/T 45087-2024Performance test methods for artificial intelligence server systems (English PDF)

人工智能服务器系统性能测试方法

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

November 28, 2024

Implementation date

November 28, 2024

Scope

GB/T 45087-2024 is the English-translated version of 人工智能服务器系统性能测试方法.

GB/T 45087-2024 is the Chinese standard "Performance test methods for artificial intelligence server systems". Its scope clause reads: This document defines the server system performance test mode and describes the training performance and reasoning performance test of the artificial intelligence server system. method.

This document is applicable to the performance testing and evaluation of artificial intelligence server systems. Its clauses include terms and definitions.

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Document preview — GB/T 45087-2024

National Standard of the People's Republic of China

ICS: 35.160
Classification: L 61

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

Preface
Introduction
1 Scope
2 Normative references
3 Terms and Definitions
4 Abbreviations
5 Test Mode
5.1 Closed Mode
5.2 Open Mode
6 Training performance test
6.1 Testing Process
6.2 Training and Testing Requirements
6.3 Training and Testing Results
6.4 Test Scenario
6.5 Test scenario configuration requirements
6.6 Indicators and test methods
6.7 Training test system requirements
7 Reasoning performance test
7.1 Testing Process
7.2 Reasoning Test Requirements
7.3 Reasoning Test Results
7.4 Test scenario
7.5 Scenario Configuration Requirements
7.6 Indicators and test methods
7.7 Inference test system requirements
Appendix A (Informative) Artificial Intelligence Server System Performance Test Tool Example
Appendix B (Normative) AUTOML Training and Testing Requirements
Appendix C (Normative) Test Code Disclosure Rules
Appendix D (Informative) Test scenario type description
Appendix E (Informative) Energy efficiency and efficiency indicators and test methods

1 Scope

This document defines the server system performance test mode and describes the training performance and reasoning performance test of the artificial intelligence server system.

method.

This document is applicable to the performance testing and evaluation of artificial intelligence server systems.

2 Normative references

The contents of the following documents constitute the essential clauses of this document through normative references in this document.

For referenced documents without a date, only the version corresponding to that date applies to this document; for referenced documents without a date, the latest version (including all amendments) applies to

This document.

GB/T 41867-2022 Information Technology Artificial Intelligence Terminology

3 Terms and definitions

The terms and definitions defined in GB/T 41867-2022 and the following apply to this document.

3.1 System under test

A system that processes the test jobs given by the tester and returns results that meet the requirements.

Note. The system under test consists of artificial intelligence server system hardware, operator implementation library, machine learning framework software, model compilation components and other necessary hardware and software.

3.2 tested party

An organization or individual that provides the system under test and test information and assists in the implementation of the test.

3.3 reference

A standardized model for defining system test requirements.

[Source. ISO /IEC 14776-414.2009, 3.1.87, modified]

3.4 Timing

Get and return the current timestamp of the system under test.

Note. It is assumed that the time of each node in the system under test (3.1) is consistent.

3.5

A server in an information system that can provide high-performance computing and processing capabilities for artificial intelligence applications.

Note 1.AI servers contain computing modules designed specifically for AI computing, providing dedicated accelerated computing capabilities for AI applications.

Note 2.Based on general-purpose servers, servers equipped with AI acceleration cards that provide dedicated computing acceleration capabilities for AI applications are called “AI” servers.

Compatible with the server".

Note 3.A server designed specifically for AI accelerated computing and providing dedicated AI computing capabilities is called an “AI all-in-one server”.

[Source. GB/T 41867-2022, 3.1.3, modified] […]

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 44 pages — is available in the English PDF.

Referenced standards

Normative references

GB/T 41867-2022Information technology—Artificial intelligence—Terminology

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