Fake Image Detection on UniversalFakeDetect (test)
100Pro-GAN Detection RateUniFD
Evaluation results
| Method | Links | |||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| UniFD2025.08 | 100 | 98.13 | 94.46 | 86.66 | 99.25 | 99.53 | 91.67 | 78.54 | 67.54 | 83.12 | 91.06 | 79.24 | 95.81 | 79.77 | 95.93 | 93.93 | 95.12 | 94.59 | 88.45 | 90.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LGrad2025.08 | 100 | 93.98 | 90.69 | 99.86 | 79.36 | 99.98 | 67.91 | 59.42 | 51.42 | 63.52 | 69.61 | 87.06 | 99.03 | 99.16 | 99.18 | 93.23 | 95.1 | 94.93 | 97.23 | 86.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NPR2025.08 | 100 | 99.53 | 94.53 | 99.94 | 88.82 | 100 | 84.41 | 97.95 | 99.99 | 50.16 | 50.16 | 98.26 | 99.92 | 99.91 | 99.92 | 99.87 | 99.89 | 99.92 | 99.26 | 92.76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FatFormer2025.08 | 100 | 100 | 99.98 | 99.75 | 100 | 100 | 97.99 | 97.94 | 81.21 | 99.84 | 99.93 | 91.99 | 99.81 | 99.09 | 99.87 | 99.13 | 99.41 | 99.2 | 99.82 | 98.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RINE2025.08 | 100 | 100 | 99.9 | 99.4 | 100 | 100 | 97.9 | 97.2 | 94.9 | 97.3 | 99.7 | 96.4 | 99.8 | 98.3 | 99.9 | 98.8 | 99.3 | 98.9 | 99.3 | 98.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AIDEOfficial pre-trained model=true2025.08 | 100 | 99.89 | 94.44 | 100 | 97.69 | 100 | 76.35 | 83.6 | 88.82 | 90.73 | 99.94 | 97.28 | 99.29 | 99.12 | 99.34 | 99.3 | 99.25 | 99.19 | 99.03 | 95.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| C2P-CLIP2025.08 | 100 | 100 | 99.96 | 99.5 | 100 | 100 | 98.59 | 98.92 | 84.56 | 99.86 | 99.95 | 94.13 | 99.99 | 99.83 | 99.98 | 99.72 | 99.79 | 99.83 | 99.91 | 98.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SAFEOfficial pre-trained model=true2025.08 | 100 | 99.77 | 95.88 | 99.93 | 97.19 | 100 | 97.45 | 85.07 | 99.27 | 41.32 | 47.23 | 95.81 | 99.96 | 99.92 | 99.96 | 98.93 | 99.21 | 99.36 | 99.67 | 92.42 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MiraGe2025.08 | 100 | 100 | 99.9 | 99.8 | 99.9 | 99.9 | 96 | 93.9 | 84.7 | 99.9 | 100 | 96.4 | 99.9 | 99.1 | 99.9 | 99.8 | 99.7 | 99.8 | 99.9 | 98.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IAPL (Ours)2025.08 | 100 | 99.99 | 99.95 | 99.75 | 100 | 100 | 97.59 | 97.27 | 98.12 | 99.97 | 100 | 96.25 | 99.86 | 99.6 | 99.74 | 99.4 | 99.73 | 99.86 | 99.95 | 99.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CNN-SpotTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 100 | 85.2 | 70.2 | 85.7 | 79 | 91.7 | 53.5 | 66.7 | 48.7 | 86.3 | 86.3 | 60.1 | 54 | 55 | — | 60.8 | 63.8 | 65.7 | 55.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.6 | 54.1 | — | |
| CLIP†Training source=ProGAN, Evaluation protocol=Cross-method2026.03 | 100 | 97 | 98.1 | 82.3 | 100 | 87.6 | 53 | 59.1 | 50 | 73.1 | 90.3 | 48 | 81.3 | 61.6 | — | 57.2 | 59.8 | 57.9 | 81.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 74.6 | 80.4 | — | |
| UniFDTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 100 | 98.5 | 94.5 | 82 | 99.5 | 97 | 66.6 | 63 | 57.5 | 59.5 | 72 | 70 | 94.2 | 73.8 | — | 79.1 | 79.8 | 78.1 | 86.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 81.4 | 94.4 | — | |
| EffortTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 100 | 99.8 | 99.6 | 95 | 99.6 | 100 | 87.6 | 92.5 | 81.5 | 98.9 | 98.9 | 69.2 | 99.3 | 96.8 | — | 97.5 | 97.8 | 97.2 | 98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 95.2 | 99.5 | — | |
| C2P-CLIPTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 100 | 97.3 | 99.1 | 96.4 | 99.2 | 99.6 | 93.8 | 95.6 | 64.4 | 93.3 | 93.3 | 69.1 | 99.3 | 97.3 | — | 95.3 | 95.3 | 96.1 | 98.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 93.8 | 99.3 | — | |
| OursTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 100 | 99.2 | 99.4 | 96.4 | 99.8 | 100 | 82.4 | 85.3 | 85.7 | 99 | 99.2 | 90.8 | 99.4 | 97.7 | — | 97.5 | 97.6 | 97.6 | 98.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 96.1 | 99.5 | — | |
| UnivFDReference=CVPR20232025.04 | 100 | 98.5 | 94.5 | 82 | 99.5 | 97 | — | — | — | — | — | — | — | 94.19 | — | 94.36 | 79.07 | 79.85 | 78.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 87.69 | 73.76 | 70.03 | |
| SePLTraining Dataset=ProGAN2026.04 | 100 | 99.75 | 99.35 | 95.5 | 99.5 | 99.5 | 87.55 | 81.5 | 85.5 | 97.8 | 97.95 | 70.75 | 99.45 | 94.5 | 99.25 | 96.95 | 96.9 | 96.65 | 97.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 94.51 | — | — | |
| CNNDetTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 100 | 85.2 | 70.2 | 85.7 | 79 | 91.7 | — | 53.5 | 66.7 | 48.7 | 86.3 | 60.1 | 54 | 55 | — | 60.8 | 63.8 | 65.7 | 55.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.6 | 54.1 | — | |
| UnivFDTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 100 | 98.5 | 94.5 | 82 | 99.5 | 97 | — | 66.6 | 63 | 57.5 | 59.5 | 70 | 94.2 | 73.8 | — | 79.1 | 79.9 | 78.1 | 86.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 81.4 | 94.4 | — | |
| AIDETraining Set=ProGAN (car, cat, chair, horse)2026.05 | 100 | 98.5 | 84 | 99.6 | 73.2 | 99.9 | — | 54 | 69.4 | 70.8 | 60.8 | 88.6 | 98.2 | 97.4 | — | 98.1 | 98.4 | 97.8 | 97.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 86.6 | 98.4 | — | |
| CNN-SpotReference=CVPR20202025.04 | 99.99 | 85.2 | 70.2 | 85.7 | 78.95 | 91.7 | — | — | — | — | — | — | — | 54.03 | — | 54.14 | 60.78 | 63.8 | 65.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70.05 | 54.96 | 60.07 | |
| C2P-CLIPReference=AAAI20252025.04 | 99.98 | 97.31 | 99.12 | 96.44 | 99.17 | 99.6 | — | — | — | — | — | — | — | 99.25 | — | 99.3 | 95.25 | 95.25 | 96.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 95.83 | 97.25 | 69.1 | |
| C2P-CLIPTraining Dataset=ProGAN2026.04 | 99.98 | 97.31 | 99.12 | 96.44 | 99.17 | 99.6 | 93.77 | 95.56 | 64.38 | 93.29 | 93.29 | 69.1 | 99.25 | 97.25 | 99.3 | 95.25 | 95.25 | 96.1 | 98.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 93.79 | — | — | |
| FreqNet2025.08 | 99.92 | 99.63 | 96.05 | 99.89 | 99.71 | 98.63 | 99.92 | 94.42 | 74.59 | 80.1 | 75.7 | 96.27 | 96.06 | 100 | 62.34 | 99.8 | 99.78 | 96.39 | 77.78 | 91.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FatFormerTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 99.9 | 99.3 | 99.5 | 97.2 | 99.4 | 99.8 | 93.2 | 81.1 | 68 | 69.5 | 69.5 | 76 | 98.6 | 94.9 | — | 94.3 | 94.7 | 94.2 | 98.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 90.9 | 98.7 | — | |
| MPFTTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 99.9 | 99.2 | 97.3 | 94.9 | 97.6 | 99.7 | 97.6 | 94.7 | 90.9 | 87.7 | 84.8 | 82 | 99.3 | 97.2 | — | 95.5 | 96.3 | 96.8 | 98.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 94.6 | 99.5 | — | |
| FatFormerReference=CVPR20242025.04 | 99.89 | 99.32 | 99.5 | 97.15 | 99.41 | 99.75 | — | — | — | — | — | — | — | 98.6 | — | 98.65 | 94.35 | 94.65 | 94.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 96.08 | 94.9 | 76 | |
| LGradReference=CVPR20232025.04 | 99.84 | 85.39 | 82.88 | 94.83 | 72.45 | 99.62 | — | — | — | — | — | — | — | 94.2 | — | 94.8 | 87.4 | 90.7 | 89.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 89.53 | 95.85 | 77.5 | |
| NPRReference=CVPR20242025.04 | 99.84 | 95 | 87.55 | 96.23 | 86.57 | 99.75 | — | — | — | — | — | — | — | 97.65 | — | 98.2 | 96.25 | 97.15 | 97.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 94.37 | 98 | 84.55 | |
| CLIPingTraining Dataset=ProGAN2026.04 | 99.83 | 95.6 | 93.8 | 95.25 | 93.43 | 99.15 | — | — | — | — | — | 92.88 | — | — | — | — | — | — | 91.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LGradTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 99.8 | 85.4 | 82.9 | 94.8 | 72.5 | 99.6 | 58 | 62.5 | 50 | 50.7 | 50.8 | 77.5 | 94.2 | 95.8 | — | 87.4 | 90.7 | 89.5 | 88.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 80.3 | 94.8 | — | |
| NPRTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 99.8 | 95 | 87.5 | 96.2 | 86.6 | 99.8 | 76.9 | 66.9 | 98.6 | 50 | 50 | 84.5 | 97.7 | 98 | — | 96.2 | 97.2 | 97.3 | 87.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 87.6 | 98.2 | — | |
| LGradTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 99.8 | 85.4 | 82.9 | 94.8 | 72.5 | 99.6 | — | 58 | 62.5 | 50 | 50.7 | 77.5 | 94.2 | 95.9 | — | 87.4 | 90.7 | 89.6 | 88.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 80.3 | 94.8 | — | |
| NPRTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 99.8 | 95 | 87.6 | 96.2 | 86.6 | 99.8 | — | 76.9 | 66.9 | 98.6 | 50 | 84.6 | 97.7 | 98 | — | 96.3 | 97.2 | 97.4 | 87.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 87.6 | 98.2 | — | |
| DeepfakeCLIPTraining Dataset=ProGAN2026.04 | 99.5 | 98.6 | 93 | 90.4 | 95.5 | 98.1 | 81.4 | — | — | — | — | — | 92.7 | 78.1 | 93.6 | 90 | 93 | 90.6 | 90.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| F3NetTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 99.4 | 76.4 | 65.3 | 92.6 | 58.1 | 100 | 63.5 | 54.2 | 47.3 | 51.5 | 51.5 | 69.2 | 68.2 | 75.3 | — | 81.7 | 83.2 | 83 | 66.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.3 | 68.8 | — | |
| F3NetReference=ECCV20202025.04 | 99.38 | 76.38 | 65.33 | 92.56 | 58.1 | 100 | — | — | — | — | — | — | — | 68.15 | — | 68.8 | 81.65 | 83.25 | 83.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 77.68 | 75.35 | 69.2 | |
| FreqNetTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 97.9 | 95.8 | 90.5 | 97.5 | 90.2 | 93.4 | 97.4 | 88.9 | 59 | 71.9 | 67.3 | 86.7 | 84.5 | 99.6 | — | 85.7 | 97.4 | 88.2 | 59.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 85.1 | 65.6 | — | |
| FreqNetReference=AAAI20242025.04 | 97.9 | 95.84 | 90.45 | 97.55 | 90.24 | 93.41 | — | — | — | — | — | — | — | 84.55 | — | 65.56 | 85.69 | 97.4 | 88.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 88.01 | 99.58 | 86.7 | |
| FreqNetTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 97.9 | 95.8 | 90.5 | 97.6 | 90.2 | 93.4 | — | 97.4 | 88.9 | 59 | 71.9 | 86.7 | 84.6 | 99.6 | — | 85.7 | 97.4 | 88.2 | 59.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 85.1 | 65.6 | — | |
| Co-occurenceTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 97.7 | 63.1 | 53.8 | 92.5 | 51.1 | 54.7 | 57.1 | 63.1 | 55.9 | 65.7 | 65.8 | 60.5 | 70.7 | 70.5 | — | 70.2 | 69.6 | 69.9 | 67.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.9 | 71 | — | |
| Co-occurenceReference=Elect. Imag.2025.04 | 97.7 | 63.15 | 53.75 | 92.5 | 51.1 | 54.7 | — | — | — | — | — | — | — | 70.7 | — | 71 | 70.25 | 69.6 | 69.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 68.78 | 70.55 | 60.5 | |
| PGCTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 97.3 | 99.1 | 96.7 | 77.2 | 98.6 | 90.7 | — | 77.2 | 54.4 | 91.1 | 88.4 | 87.5 | 92.7 | 98.1 | — | 97 | 96.7 | 97 | 97 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 90.6 | 97.6 | — | |
| Panoptic Patch Learning (PPL)Backbone=DINOv22025.04 | 96.94 | 89.44 | 94.73 | 94.27 | 93.99 | 89.99 | — | — | — | — | — | — | — | 99.4 | — | 99.4 | 98.35 | 98.6 | 98.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 96.05 | 99.4 | 92.3 | |
| B-FreeTraining Set=ProGAN (car, cat, chair, horse)2026.05 | 95.5 | 74.5 | 91.5 | 81.3 | 96.6 | 84.8 | — | 75.2 | 98.9 | 95.9 | 91.7 | 81.9 | 93.8 | 94 | — | 84.3 | 85.8 | 87.3 | 91.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 88.9 | 93.9 | — | |
| Panoptic Patch Learning (PPL)Backbone=CLIP2025.04 | 89.12 | 97.16 | 83.57 | 89.94 | 75.29 | 97.12 | — | — | — | — | — | — | — | 98.8 | — | 98.8 | 96.9 | 97.4 | 97.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 93.85 | 98.8 | 94.55 | |
| DDATraining Set=ProGAN (car, cat, chair, horse)2026.05 | 84.7 | 61.3 | 76.3 | 72.7 | 88.1 | 61.6 | — | 73.5 | 83.3 | 92.7 | 72.7 | 87.2 | 76.6 | 77.7 | — | 70.6 | 70.3 | 74.7 | 56.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 75.6 | 76 | — | |
| PatchforReference=ECCV20202025.04 | 75.03 | 68.97 | 68.47 | 79.16 | 64.23 | 63.94 | — | — | — | — | — | — | — | 76.5 | — | 75.77 | 74.81 | 73.28 | 68.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.44 | 76.1 | 67.41 | |
| PatchforTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 75 | 69 | 68.5 | 79.2 | 64.2 | 63.9 | 75.5 | 75.1 | 75.3 | 72.3 | 55.3 | 67.4 | 76.5 | 76.1 | — | 74.8 | 73.3 | 68.5 | 67.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.2 | 75.8 | — | |
| Freq-specTraining source=ProGAN, Evaluation protocol=Cross-method2026.03 | 49.9 | 99.9 | 50.5 | 49.9 | 50.3 | 99.7 | 50.1 | 50 | 48 | 50.6 | 50.1 | 50.9 | 50.4 | 50.4 | — | 51.7 | 51.4 | 50.4 | 50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 55.5 | 50.3 | — | |
| Freq-specReference=WIFS20192025.04 | 49.9 | 99.9 | 50.5 | 49.9 | 50.3 | 99.7 | — | — | — | — | — | — | — | 50.4 | — | 50.3 | 51.7 | 51.4 | 50.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.55 | 50.4 | 50.9 | |
| AIDE2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99.6 | 81.7 | 98.5 | 97.3 | 99.9 | 96.5 | 99.8 | 97 | 99.8 | 98.6 | 99.9 | 98.4 | 100 | 99.7 | 100 | 96.1 | 99.5 | 97.4 | 95.6 | 96.5 | — | — | |
| C2P-CLIP*Text Generation Module=BLIP2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99.7 | 60.7 | 98.6 | 88.7 | 99.6 | 86 | 99.8 | 78.6 | 99.4 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 89.2 | 94.6 | — | — | |
| CNN-Spot2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 79.7 | 3 | 70.8 | 4.6 | 76.9 | 4.6 | 78 | 5.1 | 76.8 | 21.4 | 88.7 | 24.1 | 90.1 | 36.1 | 93.8 | 3.5 | 62.7 | 99.8 | 12.8 | 56.3 | — | — | |
| DFFreq2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99.5 | 80.7 | 99.2 | 90.7 | 99.2 | 92.5 | 99.2 | 88.6 | 99 | 99.9 | 100 | 99.8 | 100 | 99.7 | 100 | 91.4 | 99.5 | 98.8 | 92.9 | 96 | — | — | |
| Effort2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99.7 | 53 | 98.3 | 91.4 | 99.8 | 91.4 | 99.8 | 87.4 | 99.6 | 99.8 | 100 | 100 | 100 | 99.6 | 100 | 100 | 100 | 100 | 90.3 | 95.2 | — | — | |
| FreqNet2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 95.5 | 40.9 | 78.5 | 80.4 | 97.8 | 81.1 | 97.9 | 78.2 | 97.6 | 96.6 | 99.7 | 97.6 | 99.8 | 96.1 | 99.7 | 40.1 | 93.1 | 97.9 | 76.4 | 87.6 | — | — | |
| Ladeda2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 98 | 39.5 | 89 | 69.4 | 99.6 | 71.6 | 99.4 | 72.4 | 99.7 | 74.3 | 99.9 | 75.7 | 99.9 | 85.3 | 99.9 | 9.2 | 96.4 | 100 | 62.2 | 81.1 | — | — | |
| NPR2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 97.4 | 29.5 | 83 | 61.9 | 99.3 | 60.6 | 99 | 59.9 | 99.3 | 76.1 | 99.9 | 73.9 | 99.9 | 89.3 | 100 | 27.3 | 98.9 | 99.9 | 59.8 | 79.8 | — | — | |
| Ours2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99.9 | 85.3 | 99.4 | 96.7 | 99.9 | 98 | 99.9 | 96.4 | 99.8 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 99.9 | 97 | 98.5 | — | — | |
| SAFE2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99.7 | 45.5 | 98.9 | 92.9 | 99.6 | 94.7 | 99.7 | 90.2 | 99.4 | 99.8 | 100 | 99.9 | 100 | 99.7 | 100 | 96.1 | 99.9 | 99.3 | 89.9 | 94.6 | — | — | |
| UnivFD2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 88.2 | 35.5 | 81 | 79.1 | 92.5 | 80 | 92.1 | 79.6 | 92.3 | 75.9 | 91.4 | 76 | 91.4 | 57.7 | 84.7 | 49.1 | 80.3 | 89.8 | 66.4 | 78.1 | — | — | |
| VIB-Net2025.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 97.9 | 58.1 | 94.2 | 75.5 | 97.2 | 76.6 | 96.8 | 72.4 | 96.9 | 97.1 | 99.9 | 97 | 99.8 | 86.5 | 98.6 | 93.9 | 99.5 | 98.8 | 82.1 | 90.5 | — | — |