Unverified50% confidenceBenchmarkExact time
利用 ONNX Runtime、TensorRT 等推理框架进行模型量化（INT8/FP16）通常能带来 2-10 倍的推理加速
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
SentinelCV：用现有摄像头实现AI跌倒检测的开源方案
Related Claims
UnverifiedTensorRT优化后的模型通常比通用框架推理快2-6倍75% similarVerifiedTensorRT can achieve a 2–10x improvement in inference performance through operator fusion and mixed-precision inference (FP16/INT8 quantization).74% similarUnverifiedTensorRT的INT8量化需要通过代表性数据集进行校准，可将模型推理速度提升2-4倍74% similarUnverifiedTensorRT-LLM等推理框架在首次运行时需要进行算子融合、精度校准和Kernel自动调优，对大模型可能额外耗时数分钟73% similar
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