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
Apache-2.0
Network Information
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 |