Table 12.
Evaluation of RPi using TFLite and post-training quantization with 8-bit on the BDLiB dataset.
| Models | Inference Time (ms) | Micro | Macro | Weighted |
|---|---|---|---|---|
| ANN | 0.090 ± 0.016 | 1.000 | 1.000 | 1.000 |
| CNN-1D | 21.383 ± 0.712 | 1.000 | 1.000 | 1.000 |
Evaluation of RPi using TFLite and post-training quantization with 8-bit on the BDLiB dataset.
| Models | Inference Time (ms) | Micro | Macro | Weighted |
|---|---|---|---|---|
| ANN | 0.090 ± 0.016 | 1.000 | 1.000 | 1.000 |
| CNN-1D | 21.383 ± 0.712 | 1.000 | 1.000 | 1.000 |