Resnet 50 v1

SSD Resnet 50

Optimizations

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 - - -




Results

78.90%

Accuracy [%]

427.93 FPS

Performance [sample/sec]

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Size [MB]

Tuning parameters

Strategy: basic
Accuracy goal: 0.01
Objective: performance
Timeout: 0
Max trials: 100
Random seed: 9527

Accuracy - tuning history

Duration - tuning history

Benchmarks

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
Optimization1 int8 dummy 4 28 1 - 437.12 FPS
Optimization1 int8 dummy 8 14 2 - 452.12 FPS
Optimization1 int8 MyImageRecord 1 4 7 78,90% 425.12 FPS
Optimization2 fp32 dummy 32 7 4 - 241.12 FPS
Optimization2 fp32 MyImageRecord 1 4 7 - -




Benchmark details

Optimization: some details
Dataset: dummy
Iterations: 100
Configuration: Show config
Output: Show log
Execution command

Parameters comparison

Profiling

Model Precision Action
Input model fp32
Optimization1 int8
Optimization2 fp32





Profiling data

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run defined
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Graph visualization

Model Precision
Input model fp32
Optimization1 int8
Optimization2 fp32

Datasets

Dataset name Dataset type Details
dummy Dummy [300, 300, 3]
MyImageRecord Real data /dataset/ImageRecord_mini




Dataset details

Dataset type: ImageRecord
Dataset location: /path/to/dataset
Calibration sampling size: 100
Calibration batch size: 100

Transforms

ResizeCropImagenet
height: 224
width: 224
random crop:
resize side:
mean value: 123.68,116.78,103.94

Metric

topk: 1

Project details

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 }}

Notes