keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8
Description
This is a fully quantized int8 version of the DS-CNN Large model developed by Arm, from the Hello Edge paper.
License
Network Information
| Network Information | Value |
|---|---|
| Framework | TensorFlow Lite |
| Datatype | int8 |
| SHA-1 Hash | 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972 |
| Size (Bytes) | 503816 |
| Provenance | https://arxiv.org/abs/1711.07128 |
| Training | Trained by Arm |
| Paper | https://arxiv.org/abs/1711.07128 |
DataSet
| Dataset Information | Value |
|---|---|
| Name | Google Speech Commands test set |
Accuracy
| Metric | Value |
|---|---|
| Accuracy | 94.52% |
HW Support
| HW Support | Value |
|---|---|
| Cortex-A | :heavy_check_mark: |
| Cortex-M | :heavy_check_mark: HERO |
| Mali GPU | :heavy_check_mark: |
| Ethos U | :heavy_check_mark: |
Key
- :heavy_check_mark: - Will run on this platform.
- :heavy_multiplication_x: - Will not run on this platform.
Network Quality
| Network Quality | Value |
|---|---|
| Recreate | :heavy_check_mark: |
| Quality level | Hero |
| Vanilla | :heavy_check_mark: |
| Clustered | :heavy_multiplication_x: |
| Pruned | :heavy_multiplication_x: |
| Quantization - default | :heavy_multiplication_x: |
| Quantization - full | :heavy_check_mark: |
Network Inputs
| Input Node Name | Shape | Type | Example Path | Example Type | Example Shape | Example Use Case |
|---|---|---|---|---|---|---|
| input | (1, 490) | int8 | models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_input/input | int8 | [1, 490] | The input is a processed MFCCs |
Network Outputs
| Output Node Name | Shape | Type | Example Path | Example Type | Example Shape | Example Use Case |
|---|---|---|---|---|---|---|
| Identity | (1, 12) | int8 | models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_output/Identity | int8 | [1, 12] | The probability on 12 keywords |