| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | MnasNet-A3 | #845 | Top 1 Accuracy: 76.7%Number of params: 5.2MGFLOPs: 0.806… |
| image-classification-on-imagenet | MnasNet-A2 | #881 | Top 1 Accuracy: 75.6%Number of params: 4.8MGFLOPs: 0.680 |
| image-classification-on-imagenet | MnasNet-A1 | #894 | Top 1 Accuracy: 75.2%Number of params: 3.9MGFLOPs: 0.624 |