Optimization name | Optimization type | Precision | Dataset | Accuracy | Performance | Size | Action |
Optimization1 | Quantization | int8 | dummy | 78.90% | 427.93 FPS | 25 MB | |
Optimization2 | Graph optimization | fp32 | dummy | - | - | 48 MB | |
Optimization3 | Quantization | int8 | MyImageRecord | - | - | - |
78.90% Accuracy [%] |
427.93 FPS Performance [sample/sec] |
{{ model['size_optimized_model'] ? model['size_optimized_model'] : '-' }} Size [MB] |
Strategy: | basic |
Accuracy goal: | 0.01 |
Objective: | performance |
Timeout: | 0 |
Max trials: | 100 |
Random seed: | 9527 |
Model | Precision | Dataset | Batch size | Cores per instance | Number of instances | Accuracy | Throughput | Action | Compare |
Input model | fp32 | MyImageRecord | 1 | 4 | 7 | 78.75% | 210.12 FPS |
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Optimization1 | int8 | dummy | 4 | 28 | 1 | - | 437.12 FPS |
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Optimization1 | int8 | dummy | 8 | 14 | 2 | - | 452.12 FPS |
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Optimization1 | int8 | MyImageRecord | 1 | 4 | 7 | 78,90% | 425.12 FPS |
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Optimization2 | fp32 | dummy | 32 | 7 | 4 | - | 241.12 FPS |
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Optimization2 | fp32 | MyImageRecord | 1 | 4 | 7 | - | - |
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Optimization: | some details |
Dataset: | dummy |
Iterations: | 100 |
Configuration: | Show config |
Output: | Show log |
Execution command |
Model | Precision | Action |
Input model | fp32 | |
Optimization1 | int8 | |
Optimization2 | fp32 |
{{ header | modelList }} {{ header.includes('time') ? '[μs]' : null}} | Chart | ||
run | defined | ||
{{ row[header].run }} | {{ row[header].defined }} | {{ row[header] }} |
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Model | Precision |
Input model | fp32 |
Optimization1 | int8 |
Optimization2 | fp32 |
Dataset name | Dataset type | Details |
dummy | Dummy | [300, 300, 3] |
MyImageRecord | Real data | /dataset/ImageRecord_mini |
Dataset type: | ImageRecord |
Dataset location: | /path/to/dataset |
Calibration sampling size: | 100 |
Calibration batch size: | 100 |
ResizeCropImagenet | |
height: | 224 |
width: | 224 |
random crop: | |
resize side: | |
mean value: | 123.68,116.78,103.94 |
topk: | 1 |
Project name: | Resnet 50 v1 | SSD Resnet 50 |
Created at: | 25/11/2021 8:07 | |
Modified at: | 25/11/2021 15:03 | |
Domain: | Image recognition | |
Size: | 50 MB | |
Input model path: |
{{ model['model_path'] ? getFileName(model['model_path']) : null }}
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