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Merged
merged 6 commits into from
Mar 13, 2025
Merged

chore: use larger dataset for integration test of image_classification_v2 #968

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776fa2d
Update tiny dataset for IMAGENET
anhappdev Feb 24, 2025
0434bbf
Update expected_accuracy for image_classification
anhappdev Feb 25, 2025
763689c
Update expected_accuracy for image_classification
anhappdev Feb 26, 2025
c2b2f23
Merge branch 'master' into anh/change-tiny-dataset
anhappdev Mar 12, 2025
55560a9
Update expected_accuracy
anhappdev Mar 12, 2025
fe14f02
Update expected_accuracy
anhappdev Mar 12, 2025
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8 changes: 4 additions & 4 deletions flutter/assets/tasks.pbtxt
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Original file line number Diff line number Diff line change
Expand Up @@ -42,10 +42,10 @@ task {
}
tiny {
name: "Imagenet dataset for integration test"
input_path: "https://mobile.mlcommons-storage.org/app-resources/datasets/v0_7/imagenet_tiny.zip"
input_checksum: "42cb83d80d0341d6719d68b32322adf2"
groundtruth_path: "https://mobile.mlcommons-storage.org/app-resources/datasets/v3_0/imagenet_tiny-groundtruth.txt"
groundtruth_checksum: "cc6d83ca25daeb2475f36c079e53bc26"
input_path: "https://mobile.mlcommons-storage.org/app-resources/datasets/v5_0/imagenet_tiny.zip"
input_checksum: "2cde6f1d741b9c1834db261ac6e43a6e"
groundtruth_path: "https://mobile.mlcommons-storage.org/app-resources/datasets/v5_0/imagenet_tiny_val.txt"
groundtruth_checksum: "086f99eff3d1b93fd41e7f35498570a7"
}
}
model {
Expand Down
23 changes: 18 additions & 5 deletions flutter/integration_test/expected_accuracy.dart
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Expand Up @@ -18,16 +18,29 @@ key: <accelerator> OR <accelerator>|<backendName>
*/

const Map<String, Interval> _imageClassificationV2 = {
'cpu': Interval(min: 0.82, max: 0.84),
'npu': Interval(min: 0.80, max: 0.82),
'tpu': Interval(min: 0.82, max: 0.84),
'ane': Interval(min: 0.69, max: 0.91),
'cpu&gpu&ane': Interval(min: 0.69, max: 0.91),
// TODO (anhappdev): check expected accuracy for snpe_dsp, psnpe_dsp
'snpe_dsp': Interval(min: 0.0, max: 1.0),
'psnpe_dsp': Interval(min: 0.0, max: 1.0),
'neuron-mdla': Interval(min: 0.81, max: 0.83),
'samsung_npu': Interval(min: 0.83, max: 0.85),
};

const Map<String, Interval> _imageClassificationOfflineV2 = {
'cpu': Interval(min: 0.88, max: 0.91),
'npu': Interval(min: 0.69, max: 0.91),
'tpu': Interval(min: 0.88, max: 0.91),
'npu': Interval(min: 0.69, max: 0.71),
'tpu': Interval(min: 0.89, max: 0.91),
'ane': Interval(min: 0.69, max: 0.91),
'cpu&gpu&ane': Interval(min: 0.69, max: 0.91),
// TODO (anhappdev): check expected accuracy for snpe_dsp, psnpe_dsp
'snpe_dsp': Interval(min: 0.0, max: 1.0),
'psnpe_dsp': Interval(min: 0.0, max: 1.0),
'neuron-mdla': Interval(min: 0.79, max: 0.91),
'samsung_npu': Interval(min: 0.99, max: 1.0),
'neuron-mdla': Interval(min: 0.79, max: 0.81),
'samsung_npu': Interval(min: 0.98, max: 1.0),
};

const Map<String, Interval> _objectDetection = {
Expand Down Expand Up @@ -105,5 +118,5 @@ const benchmarkExpectedAccuracy = {
BenchmarkId.naturalLanguageProcessing: _naturalLanguageProcessing,
BenchmarkId.superResolution: _superResolution,
BenchmarkId.stableDiffusion: _stableDiffusion,
BenchmarkId.imageClassificationOfflineV2: _imageClassificationV2,
BenchmarkId.imageClassificationOfflineV2: _imageClassificationOfflineV2,
};
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