Huawei Kirin 9050 series is equipped with a new-generation Da Vinci architecture NPU, supporting on-device operation of 30B large models
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Huawei Kirin officially detailed the on-device AI capabilities of the Kirin 9050 series. This series is equipped with a new-generation Da Vinci architecture NPU and can support a 30B MoE large model running offline on the phone, completing complex task planning, intelligent photo editing, and multimodal perception. The NPU performance of the Kirin 9050 Pro is 140% higher than the previous generation, with power consumption reduced by 66%, and it integrates the Transformer engine, ultra-low-power perception engine, and CANN heterogeneous computing architecture. The series also supports a 6B image editing model, a 7B Dense text model, and a small-sized multimodal perception model. Among them, the 30B MoE model has a total parameter count of 30 billion, an activated parameter count of about 2 billion, and additional memory usage of less than 2.5GB.
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The original text provides specific figures for NPU performance improvement and power consumption reduction, as well as the model specifications that can run on-device, making it easy to judge the capability boundaries of local AI on phones.
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华为麒麟9050系列官宣搭载新一代达芬奇架构NPU：支持30B大模型端侧运行凤凰网科技下载客户端 独家抢先看2026年11月11日 12:02:52 来自北京市
凤凰网科技讯（编辑/宋淑美） 11月11日，华为麒麟官方发文详解麒麟9050系列的端侧AI能力。该系列搭载新一代达芬奇架构NPU，可支持30B MoE大模型在手机端运行，无需连接网络或等待云端处理，即可完成复杂任务规划、智能修图及多模态感知等操作。
根据华为公布的数据，麒麟9050 Pro的NPU性能较上一代提升140%，功耗降低66%。其NPU集成Transformer引擎、超低功耗感知引擎及CANN异构计算架构，为不同规模的端侧模型提供算力支持。
麒麟9050系列采用端侧“大脑”与“小脑”协同架构。其中，“大脑”负责理解用户意图、执行复杂推理及多步骤任务规划；“小脑”则承担持续在线的低功耗感知和快速响应任务，让AI从识别指令进一步转向理解意图。
在模型部署方面，该系列支持30B MoE任务规划模型、6B图像编辑模型、7B Dense文本模型以及小尺寸多模态感知模型。华为此前披露，30B MoE模型总参数量为300亿、激活参数量约20亿，新增内存占用低于2.5GB；7B文本模型首字响应性能提升180%，模型推理功耗降低29%。
基于上述能力，搭载麒麟9050系列的终端可在本地完成多步骤任务处理、离线智能修图和文本生成，还可持续感知屏幕、影像、人眼及位置信息，为AI屏幕朗读、智慧翻页和熄屏地图等功能提供端侧算力支持。