BES chips power the 'night shift' in AI glasses
Understand the hardware architecture behind the next generation of AI wearables and the race for integrated chips.
30-Second TL;DR
What Changed
BES provides low-power 'always-on' chips for AI glasses, acting as a secondary processor.
Why It Matters
The shift toward integrated, power-efficient AI glasses hardware is crucial for enabling all-day wearable AI assistants.
What To Do Next
If building hardware, evaluate the power-to-performance ratio of BES chips versus Qualcomm's AR platforms for your specific AI use case.
Key Points
- •BES provides low-power 'always-on' chips for AI glasses, acting as a secondary processor.
- •The company is developing the BES6100 to combine low-power and high-performance cores in one chip.
- •Market competition is intensifying as smartphone brands develop proprietary chips.
- •Global smart glasses shipments grew 44% in 2025, reaching 14.77 million units.
Deep Insight
AI-generated analysis for this event — not the original article.
Enhanced Key Takeaways
- •BES (Hengxuan Technology) has historically focused on TWS (True Wireless Stereo) audio SoCs, leveraging its expertise in ultra-low-power Bluetooth connectivity to pivot into the AI wearable market.
- •The company's strategy involves a 'dual-core' architecture approach, where the low-power core manages sensor fusion and voice activity detection (VAD) to extend battery life in compact form factors.
- •BES has successfully integrated its chips into major consumer electronics ecosystems, including partnerships with leading Chinese smartphone OEMs that are aggressively expanding into the AR/AI glasses segment.
- •The shift toward the BES6100 series represents a strategic move to reduce the bill-of-materials (BOM) cost for manufacturers by eliminating the need for a separate discrete MCU or co-processor.
- •Industry data indicates that BES is increasingly competing with established players like Qualcomm and Airoha by offering more flexible, customizable SDKs for local AI model deployment on edge devices.
Competitor Analysis
- BES (Hengxuan)
- Low-power/Audio-centric
- Qualcomm (Snapdragon AR)
- High-performance/Compute
- Airoha (MediaTek)
- Mid-range/Connectivity
- BES (Hengxuan)
- High (SoC + Audio)
- Qualcomm (Snapdragon AR)
- Very High (Full Platform)
- Airoha (MediaTek)
- Moderate (Connectivity)
- BES (Hengxuan)
- Edge-optimized (NPU)
- Qualcomm (Snapdragon AR)
- Advanced (Hexagon DSP)
- Airoha (MediaTek)
- Basic (NPU)
- BES (Hengxuan)
- Cost-effective/Efficient
- Qualcomm (Snapdragon AR)
- Premium/Flagship
- Airoha (MediaTek)
- Value/Mass Market
| Feature | BES (Hengxuan) | Qualcomm (Snapdragon AR) | Airoha (MediaTek) |
|---|---|---|---|
| Primary Focus | Low-power/Audio-centric | High-performance/Compute | Mid-range/Connectivity |
| Integration | High (SoC + Audio) | Very High (Full Platform) | Moderate (Connectivity) |
| AI Capability | Edge-optimized (NPU) | Advanced (Hexagon DSP) | Basic (NPU) |
| Market Position | Cost-effective/Efficient | Premium/Flagship | Value/Mass Market |
Technical Deep Dive
- BES6100 Architecture: Utilizes a heterogeneous multi-core design combining high-efficiency RISC-V cores for background tasks and a dedicated NPU for local AI inference.
- Power Management: Implements proprietary dynamic voltage and frequency scaling (DVFS) specifically tuned for 'always-on' voice and gesture recognition.
- Connectivity: Supports multi-protocol wireless standards including Bluetooth 5.4 and low-latency proprietary links for real-time audio/data synchronization.
- Memory Integration: Features on-chip SRAM optimization to minimize external DRAM access, significantly reducing power consumption during AI model execution.
Future ImplicationsAI analysis grounded in cited sources
Timeline
- 2015-06Hengxuan Technology (BES) is founded in Shanghai, focusing on audio SoCs.
- 2020-12BES completes its IPO on the Shanghai Stock Exchange STAR Market.
- 2023-05Company announces expansion into wearable AI processors, moving beyond traditional TWS audio chips.
- 2025-09BES reports significant shipment growth as AI-enabled smart glasses gain mainstream traction.
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