SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops
SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops
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 serving on Qwen3, Qwen3.5, and Gemma 4. We use a classification task to check for quality…
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From the original article
1 min read at huggingface.co
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 serving on Qwen3, Qwen3.
By Ranran Haoran Zhang, Aysa Xuemo Fan, David Munhá Correia · huggingface.co
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