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News/Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite
arxiv
PublishedJune 12, 2026 at 4:00 AM
▲bullish

Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.11257v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) pipelines are compute-intensive, combining embedding, retrieval, reranking, and large language model (LLM) generation. Running them entirely on-device benefits privacy, latency, and offline use, but the energy cos

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Mentioned models
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  • 01
    GPT-4.1
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arxiv
Read original ↗All from arxiv →
Tags
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#edge-intelligence#energy-efficiency#on-device#retrieval-augmented-generation
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QualcommDellAppleIntelMediaTek

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Mentioned models
01
  • 01
    GPT-4.1
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#edge-intelligence#energy-efficiency#on-device#retrieval-augmented-generation
Mentioned companies
05
QualcommDellAppleIntelMediaTek

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