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 |