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FER2013 quantize result
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Benchmark model: mobilenet_small | |
Benchmark for non quantized model | |
LOAD DATASET: START | |
LOAD DATASET: DONE | |
INFERENCE: START | |
INFERENCE: DONE | |
Angry: Correct cases: 301 / 491, Accuracy: 61.30 | |
Disgust: Correct cases: 0 / 55, Accuracy: 0.00 | |
Fear: Correct cases: 176 / 528, Accuracy: 33.33 | |
Happy: Correct cases: 728 / 879, Accuracy: 82.82 | |
Sad: Correct cases: 242 / 594, Accuracy: 40.74 | |
Surprise: Correct cases: 270 / 416, Accuracy: 64.90 | |
Neutral: Correct cases: 397 / 626, Accuracy: 63.42 | |
All category: Correct cases: 2114 / 3589, Accuracy: 58.90 | |
0.58 ms for one data | |
Benchmark for quantized model | |
LOAD DATASET: START | |
LOAD DATASET: DONE | |
INFERENCE: START | |
INFERENCE: DONE | |
Angry: Correct cases: 304 / 491, Accuracy: 61.91 | |
Disgust: Correct cases: 0 / 55, Accuracy: 0.00 | |
Fear: Correct cases: 181 / 528, Accuracy: 34.28 | |
Happy: Correct cases: 727 / 879, Accuracy: 82.71 | |
Sad: Correct cases: 241 / 594, Accuracy: 40.57 | |
Surprise: Correct cases: 271 / 416, Accuracy: 65.14 | |
Neutral: Correct cases: 384 / 626, Accuracy: 61.34 | |
All category: Correct cases: 2108 / 3589, Accuracy: 58.74 | |
18.46 ms for one data |
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