| benchmark: |
| benchmark_metrics: |
| Accuracy: 94.52% |
| benchmark_name: Google Speech Commands test set |
| 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: |
| datatype: int8 |
| file_size_bytes: 503816 |
| filename: ds_cnn_l_quantized.tflite |
| framework: TensorFlow Lite |
| hash: |
| algorithm: sha1 |
| value: 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972 |
| provenance: https://arxiv.org/abs/1711.07128 |
| training: Trained by Arm |
| network_parameters: |
| input_nodes: |
| - description: The input is a processed MFCCs of shape (1, 490) |
| example_input: |
| path: models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_input/input |
| shape: |
| - 1 |
| - 490 |
| type: int8 |
| use_case: Random input for model regression. |
| input_datatype: int8 |
| name: input |
| shape: |
| - 1 |
| - 490 |
| output_nodes: |
| - description: The probability on 12 keywords. |
| example_output: |
| path: models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_output/Identity |
| shape: |
| - 1 |
| - 12 |
| type: int8 |
| use_case: output for model regression. |
| name: Identity |
| output_datatype: int8 |
| shape: |
| - 1 |
| - 12 |
| network_quality: |
| clustered: false |
| is_vanilla: true |
| pruned: false |
| quality_level: Deployable |
| quality_level_hero_hw: cortex_m |
| quantization_default: false |
| quantization_full: true |
| recreate: true |
| operators: |
| TensorFlow Lite: |
| - AVERAGE_POOL_2D |
| - CONV_2D |
| - DEPTHWISE_CONV_2D |
| - FULLY_CONNECTED |
| - RELU |
| - RESHAPE |
| - SOFTMAX |
| paper: https://arxiv.org/abs/1711.07128 |
