Inference Latency on CIFAR-100
1.167Latency (s)ResNet-18
Evaluation Results
| Method | Links | |
|---|---|---|
| ResNet-18Hardware Backend=GPU, Batch Size=31362022.10 | 1.167 | |
| ResNet-18Hardware Backend=GPU, Batch Size=642022.10 | 1.35 | |
| ResNet-18Hardware Backend=Optics, Batch Size=64, Resolution=4k2022.10 | 3.815 | |
| FatNetHardware Backend=GPU, Batch Size=642022.10 | 4.565 | |
| FatNetHardware Backend=Optics, Batch Size=64, Resolution=4k2022.10 | 4.645 | |
| ResNet-18Hardware Backend=Optics, Batch Size=3136, Resolution=4k2022.10 | 7.786 | |
| FatNetHardware Backend=GPU, Batch Size=31362022.10 | 7.942 | |
| FatNetHardware Backend=Optics, Batch Size=3136, Resolution=4k2022.10 | 9.479 |