Upload Date | March 19 2023 02:36 AM |
Views | 1 |
System Information | |
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Operating System | Android 12 |
Model | samsung SM-S134DL |
Model ID | samsung SM-S134DL |
Motherboard | a03su |
CPU Information | |
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Name | ARM MT6765V/CB |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
Base Frequency | 2.30 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 4 Cores @ 2.30 GHz |
Memory Information | |
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Size | 2.71 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
131
14.1 IPS |
|
Image Classification (F16)
|
61% |
160
17.2 IPS |
|
Image Classification (I8)
|
79% |
139
14.9 IPS |
|
Image Segmentation (F32)
|
100% |
89
0.55 IPS |
|
Image Segmentation (F16)
|
100% |
88
0.54 IPS |
|
Image Segmentation (I8)
|
89% |
119
0.73 IPS |
|
Pose Estimation (F32)
|
100% |
119
0.48 IPS |
|
Pose Estimation (F16)
|
100% |
153
0.62 IPS |
|
Pose Estimation (I8)
|
87% |
151
0.61 IPS |
|
Object Detection (F32)
|
100% |
117
4.09 IPS |
|
Object Detection (F16)
|
60% |
128
4.49 IPS |
|
Object Detection (I8)
|
44% |
124
4.36 IPS |
|
Face Detection (F32)
|
100% |
234
2.69 IPS |
|
Face Detection (F16)
|
96% |
314
3.61 IPS |
|
Face Detection (I8)
|
74% |
244
2.80 IPS |
|
Text Classification (F32)
|
100% |
99
39.0 IPS |
|
Text Classification (F16)
|
54% |
92
36.6 IPS |
|
Machine Translation (F32)
|
100% |
13
1.95 IPS |
|
Machine Translation (F16)
|
100% |
12
1.91 IPS |