Standard No.:	GB/Z 177.3-2026
English Name:	Intelligence grading of artificial intelligence terminal—Part 3: Mobile terminal
Chinese Name:	人工智能终端智能化分级 第3部分：移动终端
Chinese Classification:	L62    Computer equipment
Professional Classification:	GB    National Standard
Source Content Issued by:	SAMR, SAC
Issued on:	2026-04-30
Implemented on:	2026-4-30
Status:	valid
Target Language:	English
File Format:	PDF
Word Count:	20000 words
Translation Price(USD):	600.0
Delivery:	via email in 1~8 business day

GB/Z 177.3-2026 Intelligence grading of artificial intelligence terminal—Part 3: Mobile terminal English, Anglais, Englisch, Inglés, えいご This is a draft translation for reference among interesting stakeholders. The finalized translation (passing through draft translation, self-check, revision and verification) will be delivered upon being ordered. ICS CCS National Standard of the People's Republic of China ‌GB/Z 177.3-2026 Intelligence grading of artificial intelligence terminal - Part 3: Mobile terminal 人工智能终端智能化分级 第3部分：移动终端 Issue date: 2026-03-31 Implementation date: 2026-10-01 Issued by the General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China the Standardization Administration of the People's Republic of China Contents Foreword Introduction 1 Scope 2 Normative References 3 Terms and Definitions 4 Abbreviations 5 Key Capabilities 5.1 Overview 5.2 EndSide Capabilities 5.3 DeviceCloud Collaboration Capabilities 6 Level Determination Annex A (Normative) Test Methods A.1 General A.2 Test Methods for EndSide Capabilities A.3 Test Methods for DeviceCloud Collaboration Capabilities Annex B (Informative) Examples of Typical Test Scenarios B.1 EndSide Scenarios B.2 DeviceCloud Collaboration Scenarios Annex C (Informative) Examples and Difficulty Correspondence of Tool Invocation Tasks for GeneralPurpose Mobile Terminals Bibliography Artificial intelligence terminal intelligence classification — Part 3: Mobile terminals 1 Scope This document provides guidance on the capabilities for the intelligence classification of artificial intelligence mobile terminals (hereinafter referred to as “mobile terminals”), and describes the corresponding test methods. This document is intended to guide the intelligence classification of generalpurpose mobile terminals, and also provides a reference for the design, development, application, selection and testing of specialised mobile terminals. 2 Normative References The following documents are essential for the application of this document. For dated references, only the edition cited applies. For undated references, the latest edition (including any amendments) applies. GB/T 45288.2-2025 Artificial intelligence — Large models — Part 2: Evaluation metrics and methods GB/Z 177.1 Artificial intelligence terminal intelligence classification — Part 1: Reference framework GB/Z 177.2-2026 Artificial intelligence terminal intelligence classification — Part 2: General requirements 3 Terms and Definitions For the purposes of this document, the terms and definitions given in GB/T 45288.2-2025, GB/Z 177.1, GB/Z 177.2-2026 and the following apply. 3.1 generalpurpose mobile terminal A mobile terminal device that can install multiple types of tools, covering social entertainment, lifestyle shopping, transportation, professional office work, etc., and can be applied in general scenarios. NOTE: Mainly includes mobile communication terminals and tablet computers. 3.2 specialised mobile terminal A mobile terminal device that can only install specialised tools and is applied in specialised industry fields and specific scenarios. 3.3 enforce RecallOriented Understudy for Gisting Evaluation; enROUGE An enhanced summary quality evaluation metric that, based on the traditional ROUGE metric, multiplies a semantic judgement coefficient calculated based on semantic similarity to ensure both semantic direction consistency between the summary and the original text and a relatively high ROUGE value. 3.4 enforce Bilingual Evaluation Understudy; enBLEU An enhanced translation quality evaluation metric that, based on the traditional BLEU metric, multiplies a semantic judgement coefficient calculated based on semantic similarity to ensure both semantic direction consistency between the translation and the original text and a relatively high BLEU value. 4 Abbreviations The following abbreviations apply to this document. BLEU: Bilingual Evaluation Understudy MB: MegaByte ROUGE: RecallOriented Understudy for Gisting Evaluation 5 Key Capabilities 5.1 Overview Based on the intelligence level of a mobile terminal in performing various tasks within its functional scope and the degree of user participation during task execution, the intelligence level of a mobile terminal is classified into Level 1 (L1) to Level 3 (L3). The higher the level, the higher its intelligence level. Higherlevel capabilities encompass all lowerlevel capabilities. For example, an L3level mobile terminal shall encompass all the key capabilities of both L1 and L2 levels. The key capability elements in this document refer to GB/Z 177.1 and GB/Z 177.2-2026. The intelligence level of a mobile terminal consists of two parts: endside capabilities and devicecloud collaboration capabilities. a) Endside capabilities refer to the service capabilities of a mobile terminal to complete certain perception, cognition, execution, memory and learning tasks locally, relying on its own local resources such as computing, storage and sensors. b) Devicecloud collaboration capabilities refer to the ability of a mobile terminal, based on its endside capabilities, to combine with edgeside or cloudside computing resources, through coordinated scheduling and information exchange, to complete composite tasks requiring strong cognition and complex decisionmaking. 5.2 Endside capabilities 5.2.1 L1 Response Level 5.2.1.1 Perception 5.2.1.1.1 User information perception It shall have the ability to perceive user input content, such as text, images, audio, video, etc. 5.2.1.1.2 Device information perception Device information perception capabilities include: a) It shall have the ability to perceive terminal hardware status, such as processor, storage, external communication interfaces, etc.; b) It shall have the ability to perceive terminal software information, such as the list of installed software, permission configurations, operating status, etc. 5.2.1.1.3 Environmental information perception No requirements. 5.2.1.2 Cognition 5.2.1.2.1 Understanding It shall have the ability to understand simple user instructions. 5.2.1.2.2 Reasoning No requirements. 5.2.1.2.3 Planning No requirements. 5.2.1.3 Execution 5.2.1.3.1 Tool invocation It shall have the ability to invoke deterministic tools to complete singlestep tasks. 5.2.1.3.2 Content generation No requirements. 5.2.1.3.3 Interconnection and collaboration No requirements. 5.2.1.3.4 Expression output It shall have the ability to provide feedback to the user on task execution status and results through output modalities such as images, audio, text, etc. 5.2.1.4 Memory No requirements. 5.2.1.5 Learning No requirements. 5.2.2 L2 Tool Level 5.2.2.1 Perception 5.2.2.1.1 User information perception User information perception capabilities include: a) It shall have the ability to perceive user input content, such as text, images, audio, video, etc.; b) It shall have the ability to perceive user biometric or behavioural characteristics, such as face, fingerprint, emotion, state, etc. 5.2.2.1.2 Device information perception Device information perception capabilities include: a) It shall have the ability to perceive terminal hardware status, such as storage, battery level, etc.;