TI Deep Learning Library User Guide
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Si No | Net | Net GMACS | Time (ms) - in v1.0 | Performance simulator |
---|---|---|---|---|
1 | MobileNet-1.0 V1 | 0.569 | 1.46 | 0.91 |
2 | MobileNet-1.0 V2 | 0.314 | 2.27 | 1.19 |
3 | InceptionNet V1 | 1.518 | 3.39 | 1.29 |
4 | SqueezeNet | 0.391 | 1.36 | 0.52 |
5 | resnet50 (TF) | 3.505 | 6.3 | 3.44 |
6 | resnet18 v1 (Onnx) | 1.821 | 2.98 | 1.58 |
Si No | Net | Net GMACS | Time (ms) - in v1.0 | Performance simulator |
---|---|---|---|---|
1 | MobileNet-1.0 V1 | 6.091 | 5.95 | 5.43 |
2 | MobileNet-1.0 V2 | 3.265 | 7.03 | 6.29 |
3 | InceptionNet V1 | 15.857 | 14.52 | 9.48 |
4 | SqueezeNet | 3.990 | 7.97 | 6.3 |
5 | resnet50 (TF) | 36.611 | 37.76 | 33.36 |
6 | resnet18 v1 (Onnx) | 19.027 | 13.78 | 10.17 |
7 | ShuffleNet v1 (Onnx) | 1.394 | 9.36 | 2.97 |
Si No | Net | Net GMACS | Time (ms) - in v1.0 | Performance simulator |
---|---|---|---|---|
1 | MobileNet-1.0 V1 | 12.181 | 17.8 | 17.86 |
2 | MobileNet-1.0 V2 | 6.530 | 19.94 | 19.95 |
3 | InceptionNet V1 | 31.714 | 41.69 | 24.68 |
4 | SqueezeNet | 8.071 | 26.15 | 17.02 |
5 | resnet50 (TF) | 73.223 | 89.16 | 77.1 |
6 | resnet18 v1 (Onnx) | 38.053 | 34.03 | 22.74 |
7 | ShuffleNet v1 (Onnx) | 2.788 | 20.42 | 6.97 |
Si No | Net | Application | Input Resolution | Net GMACS | Time (ms) - in v1.0 | Performance simulator |
---|---|---|---|---|---|---|
1 | MobileNet-1.0 V1 + SSD (tidl_net_jpsdNet ) | Parking Spot | 512x512 | 3.654 | 4.86 | 3.9 |
2 | MobileNet-1.0 V1 + SSD (tidl_net_jvdNet ) | Vehicle Detection | 512x512 | 3.654 | 4.86 | 3.9 |
2 | MobileNet-1.0 V1 + SSD (tidl_net_ssd ) | Parking Spot + Vehicle Detection | 768x384 | 3.6495 | 4.49 | 3.4 |
4 | MobileNet-1.0 V2 + ASPP (tidl_net_onnx_tiadsegNet_v2) | Semantic Segmentation | 768x384 | 3.679 | 6.2 | 4.35 |