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GB/Z 177.4-2026   Intelligence grading of artificial intelligence terminal—Part 4: Microcomputer (English)
Standard No.: GB/Z 177.4-2026 Status:valid remind me the status change

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Standard No.: GB/Z 177.4-2026
English Name: Intelligence grading of artificial intelligence terminal—Part 4: Microcomputer
Chinese Name: 人工智能终端智能化分级 第4部分:微型计算机
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: 19000 words
Translation Price(USD): 570.0
Delivery: via email in 1~5 business day
GB/Z 177.4-2026 Intelligence grading of artificial intelligence terminal—Part 4: Microcomputer 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 177.4-2026 Intelligence grading of artificial intelligence terminal - Part 4: Microcomputer 人工智能终端智能化分级 第4部分:微型计算机 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 General 5.2 EndSide Capabilities 5.3 DeviceCloud Collaboration Capabilities 6 Level Determination Annex A (Informative) ScenarioBased Test Examples Annex B (Informative) Capabilities Recommended to be Covered by Typical Scenarios Annex C (Normative) Test Methods C.1 Test Environment C.2 L1 Response Level C.3 L2 Tool Level C.4 L3 Assistance Level Bibliography Artificial intelligence terminal intelligence classification — Part 4: Microcomputers 1 Scope This document specifies the classification levels and level determination of key intelligence capabilities for artificial intelligence microcomputers (hereinafter referred to as “microcomputers”), and describes the corresponding test methods. This document is intended to guide the intelligence classification of microcomputers, and also provides a reference for the design, development, application, selection and testing of desktop microcomputers, portable microcomputers and tablet microcomputers. 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 9813.1-2016 General specification for computers — Part 1: Desktop microcomputers GB/T 9813.2-2016 General specification for computers — Part 2: Portable microcomputers 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 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 9813.1-2016, GB/T 9813.2-2016, GB/T 45288.2-2025, GB/Z 177.1, GB/Z 177.2 and the following apply. 3.1 tablet microcomputer A microcomputer that uses a touch screen as the primary interaction method and is typically used with external peripherals such as a keyboard or mouse. 3.2 direct instruction An operating instruction issued by a user in an explicit, structured format that can be directly parsed and executed by the system without reasoning. 3.3 simple intent A single, clearly defined operational need expressed by a user to the system that does not rely on context. 3.4 complex intent An operational need expressed by a user to the system that contains multiple subgoals, requires task decomposition, and relies on context. 3.5 workflow A sequence of tasks arranged to achieve a specific goal. 4 Abbreviations The following abbreviations apply to this document. BLEU: Bilingual Evaluation Understudy MOS: Mean Opinion Score 5 Key Capabilities 5.1 General Based on the intelligence level of a microcomputer in performing various tasks within its functional scope and the degree of user participation during task execution, the intelligence level of a microcomputer 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 microcomputer 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. The intelligence level of a microcomputer consists of two parts: endside capabilities and devicecloud collaboration capabilities. a) Endside capabilities refer to the service capabilities of a microcomputer 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 microcomputer, 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 User information perception capabilities shall meet the following requirements: a) Text perception: the ability to accurately input text content via external peripherals such as a keyboard. b) Audio perception: the ability to input audio information via external peripherals such as a microphone, or via audio files provided by the user. c) Image perception: the ability to take photos via external peripherals such as a camera, or to input image information via image files provided by the user. d) Video perception: the ability to record videos via external peripherals such as a camera, or to input video information via video files provided by the user. 5.2.1.1.2 Device information perception Device information perception capabilities shall meet the following requirements: a) Hardware perception: the ability to perceive the local hardware information and working status, including the processor, memory, hard disk, graphics card or battery, etc. b) Software perception: the ability to perceive the local software information and working status, including the list of installed software, operating status, operating system information, driver status, permission configurations or network connection status, etc. 5.2.1.1.3 Environmental information perception No requirements. 5.2.1.2 Cognition 5.2.1.2.1 Understanding Direct instructions: the ability to understand simple user instructions, such as “open the browser”. 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 Invoking deterministic tools to complete singlestep task execution: the ability to invoke firstparty or thirdparty applications or services and complete singlestep tasks. 5.2.1.3.2 Content generation No requirements. 5.2.1.3.3 Interconnection and collaboration Crossdevice control: the ability to control external devices, such as peripheral control, document printing or smart home control functions. 5.2.1.3.4 Expression output Expression output: the ability to provide feedback to the user on task execution status and results through specific output methods. 5.2.1.4 Memory capabilities 5.2.1.4.1 Shortterm memory No requirements. 5.2.1.4.2 Longterm memory No requirements. 5.2.1.5 Learning
Code of China
Standard
GB/Z 177.4-2026  Intelligence grading of artificial intelligence terminal—Part 4: Microcomputer (English Version)
Standard No.GB/Z 177.4-2026
Statusvalid
LanguageEnglish
File FormatPDF
Word Count19000 words
Price(USD)570.0
Implemented on2026-4-30
Deliveryvia email in 1~5 business day
Detail of GB/Z 177.4-2026
Standard No.
GB/Z 177.4-2026
English Name
Intelligence grading of artificial intelligence terminal—Part 4: Microcomputer
Chinese Name
人工智能终端智能化分级 第4部分:微型计算机
Chinese Classification
Professional Classification
GB
ICS Classification
Issued by
SAMR, SAC
Issued on
2026-04-30
Implemented on
2026-4-30
Status
valid
Superseded by
Superseded on
Abolished on
Superseding
Language
English
File Format
PDF
Word Count
19000 words
Price(USD)
570.0
Keywords
GB/Z 177.4-2026, GB/ZT 177.4-2026, GBZT 177.4-2026, GB/Z177.4-2026, GB/Z 177.4, GB/Z177.4, GB/ZT177.4-2026, GB/ZT 177.4, GB/ZT177.4, GBZT177.4-2026, GBZT 177.4, GBZT177.4
Introduction of GB/Z 177.4-2026
GB/Z 177.4-2026 Intelligence grading of artificial intelligence terminal—Part 4: Microcomputer 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 177.4-2026 Intelligence grading of artificial intelligence terminal - Part 4: Microcomputer 人工智能终端智能化分级 第4部分:微型计算机 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 General 5.2 EndSide Capabilities 5.3 DeviceCloud Collaboration Capabilities 6 Level Determination Annex A (Informative) ScenarioBased Test Examples Annex B (Informative) Capabilities Recommended to be Covered by Typical Scenarios Annex C (Normative) Test Methods C.1 Test Environment C.2 L1 Response Level C.3 L2 Tool Level C.4 L3 Assistance Level Bibliography Artificial intelligence terminal intelligence classification — Part 4: Microcomputers 1 Scope This document specifies the classification levels and level determination of key intelligence capabilities for artificial intelligence microcomputers (hereinafter referred to as “microcomputers”), and describes the corresponding test methods. This document is intended to guide the intelligence classification of microcomputers, and also provides a reference for the design, development, application, selection and testing of desktop microcomputers, portable microcomputers and tablet microcomputers. 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 9813.1-2016 General specification for computers — Part 1: Desktop microcomputers GB/T 9813.2-2016 General specification for computers — Part 2: Portable microcomputers 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 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 9813.1-2016, GB/T 9813.2-2016, GB/T 45288.2-2025, GB/Z 177.1, GB/Z 177.2 and the following apply. 3.1 tablet microcomputer A microcomputer that uses a touch screen as the primary interaction method and is typically used with external peripherals such as a keyboard or mouse. 3.2 direct instruction An operating instruction issued by a user in an explicit, structured format that can be directly parsed and executed by the system without reasoning. 3.3 simple intent A single, clearly defined operational need expressed by a user to the system that does not rely on context. 3.4 complex intent An operational need expressed by a user to the system that contains multiple subgoals, requires task decomposition, and relies on context. 3.5 workflow A sequence of tasks arranged to achieve a specific goal. 4 Abbreviations The following abbreviations apply to this document. BLEU: Bilingual Evaluation Understudy MOS: Mean Opinion Score 5 Key Capabilities 5.1 General Based on the intelligence level of a microcomputer in performing various tasks within its functional scope and the degree of user participation during task execution, the intelligence level of a microcomputer 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 microcomputer 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. The intelligence level of a microcomputer consists of two parts: endside capabilities and devicecloud collaboration capabilities. a) Endside capabilities refer to the service capabilities of a microcomputer 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 microcomputer, 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 User information perception capabilities shall meet the following requirements: a) Text perception: the ability to accurately input text content via external peripherals such as a keyboard. b) Audio perception: the ability to input audio information via external peripherals such as a microphone, or via audio files provided by the user. c) Image perception: the ability to take photos via external peripherals such as a camera, or to input image information via image files provided by the user. d) Video perception: the ability to record videos via external peripherals such as a camera, or to input video information via video files provided by the user. 5.2.1.1.2 Device information perception Device information perception capabilities shall meet the following requirements: a) Hardware perception: the ability to perceive the local hardware information and working status, including the processor, memory, hard disk, graphics card or battery, etc. b) Software perception: the ability to perceive the local software information and working status, including the list of installed software, operating status, operating system information, driver status, permission configurations or network connection status, etc. 5.2.1.1.3 Environmental information perception No requirements. 5.2.1.2 Cognition 5.2.1.2.1 Understanding Direct instructions: the ability to understand simple user instructions, such as “open the browser”. 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 Invoking deterministic tools to complete singlestep task execution: the ability to invoke firstparty or thirdparty applications or services and complete singlestep tasks. 5.2.1.3.2 Content generation No requirements. 5.2.1.3.3 Interconnection and collaboration Crossdevice control: the ability to control external devices, such as peripheral control, document printing or smart home control functions. 5.2.1.3.4 Expression output Expression output: the ability to provide feedback to the user on task execution status and results through specific output methods. 5.2.1.4 Memory capabilities 5.2.1.4.1 Shortterm memory No requirements. 5.2.1.4.2 Longterm memory No requirements. 5.2.1.5 Learning
Contents of GB/Z 177.4-2026
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