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SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops

Zhang, Ranran Haoran et al.
arXiv (All) · Papers
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and-cluster-computingdistributedhardware-architectureparallelsystems-and-control
Concurrent local LLM serving on unified-memory desktops must preserve memory headroom and output fidelity, which speed-only rankings overlook. We introduce SiliconBench, which evaluates nine Apple Silicon serving engines through three lenses: speed, memory, and fidelity. We evaluate chat and agent s
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