| 方法 | 模型大小 | 训练集数量 | LFW | YTF | AgeDB | CFP-FP | CALFW | CPLFW |
| SphereFace [5] | 160 M | 0.49 M | 99.42 | 95 | — | — | — | — |
| CosFace [6] | 160 M | 5 M | 99.73 | 97.6 | — | — | — | — |
| ArcFace [7] | 250 M | 3.8 M | 99.83 | — | 98.08 | 94.04 | — | — |
| AdaptiveFace [13] | 125 M | 5 M | 99.62 | — | — | — | — | — |
| AdaCos [8] | 125 M | 0.45 M | 99.71 | — | — | — | — | — |
| MobileFaceNets [1] | 4 M | 3.8 M | 99.55 | — | — | — | — | — |
| Mobiface [2] | 9.3 M | 3.8 M | 99.72 | — | — | — | — | — |
| SeesawFaceNets [3] | — | 5.8 M | 99.80 | — | 97.55 | 97.24 | 95.98 | 91.98 |
| MixFaceNets [4] | — | 5.8 M | 99.60 | — | 96.63 | — | — | — |
| PFE [14] | 170 M | 4.4 M | 99.82 | 97.36 | — | 93.34 | — | — |
| DUL [15] | 50 M | 3.6 M | 99.76 | 96.38 | — | 97.11 | — | — |
| SCF [16] | 260 M | 5.8 M | 99.82 | — | 98.3 | 98.59 | 96.18 | 93.26 |
| MV-Arc-Softmax [9] | — | 3.9 M | 99.79 | — | 98 | 95.3 | 95.36 | 89.19 |
| CurricularFace [10] | 250 M | 5.8 M | 99.80 | — | 98.32 | 98.37 | 96.2 | 93.13 |
| MagFace [12] | 250 M | 5.8 M | 99.83 | — | 98.17 | 98.46 | 96.15 | 92.87 |
| AdaFace [11] | 250 M | 4.2 M | 99.80 | — | 97.9 | 99.17 | 96.05 | 94.63 |