Upload Date | September 26 2022 10:33 PM |
Views | 1 |
System Information | |
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Operating System | Android 12 |
Model | samsung SM-E225F |
Model ID | samsung SM-E225F |
Motherboard | f22 |
CPU Information | |
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Name | ARM MT6769V/CT |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
Base Frequency | 1.80 GHz |
Cluster 1 | 6 Cores @ 1.80 GHz |
Cluster 2 | 2 Cores @ 2.00 GHz |
Memory Information | |
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Size | 3.63 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
145
15.5 IPS |
|
Image Classification (F16)
|
100% |
323
34.6 IPS |
|
Image Classification (I8)
|
81% |
314
33.6 IPS |
|
Image Segmentation (F32)
|
100% |
306
1.89 IPS |
|
Image Segmentation (F16)
|
100% |
860
5.31 IPS |
|
Image Segmentation (I8)
|
89% |
903
5.57 IPS |
|
Pose Estimation (F32)
|
0
|
||
Pose Estimation (F16)
|
0% |
353
1.43 IPS |
|
Pose Estimation (I8)
|
0% |
362
1.46 IPS |
|
Object Detection (F32)
|
100% |
127
4.47 IPS |
|
Object Detection (F16)
|
99% |
227
7.97 IPS |
|
Object Detection (I8)
|
54% |
199
6.98 IPS |
|
Face Detection (F32)
|
100% |
335
3.84 IPS |
|
Face Detection (F16)
|
97% |
719
8.26 IPS |
|
Face Detection (I8)
|
75% |
641
7.36 IPS |
|
Text Classification (F32)
|
100% |
231
91.5 IPS |
|
Text Classification (F16)
|
46% |
345
136.4 IPS |
|
Machine Translation (F32)
|
100% |
83
12.8 IPS |
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |