Unverified50% confidenceBenchmarkExact time
未优化网格的 ACMR 可能高达 1.5 以上，经 meshoptimizer 的 Forsyth 变体算法优化后可降至接近理论下限 0.5
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
meshoptimizer：3D网格压缩与渲染优化开源库详解
githubGitHub Trending7/10/2026
Related Claims
UnverifiedACMR（平均缓存未命中率）理论最优值约为 0.5，典型未优化网格 ACMR 可能高达 1.5 以上，经优化后可降至接近 0.582% similarUnverified当权重仅为-1、0、+1时，矩阵乘法可完全用加减法代替，理论上可将神经网络推理功耗降低5-10倍68% similarUnverified批大小为1的Transformer推理算术强度往往低于10 FLOP/Byte，意味着GPU算力利用率不足理论峰值的5%64% similarUnverified4-bit quantization reduces model size to 1/8 of the original at the cost of approximately 1–3% accuracy loss.63% similarUnverifiedINT8 quantization loses approximately 0.5% accuracy while halving VRAM usage; INT4 quantization compresses VRAM to 1/4 of the original with an accuracy loss of approximately 1–3%.62% similar
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