Upload Date | August 14 2023 03:20 PM |
Views | 2 |
System Information | |
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Operating System | Android 13 |
Model | samsung SM-A037F |
Model ID | samsung SM-A037F |
Motherboard | a03s |
CPU Information | |
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Name | ARM MT6765V/WB |
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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
38
4.07 IPS |
|
Image Classification (F16)
|
100% |
39
4.13 IPS |
|
Image Classification (I8)
|
81% |
83
8.85 IPS |
|
Image Segmentation (F32)
|
100% |
94
0.58 IPS |
|
Image Segmentation (F16)
|
100% |
92
0.57 IPS |
|
Image Segmentation (I8)
|
89% |
258
1.60 IPS |
|
Pose Estimation (F32)
|
100% |
36
0.14 IPS |
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
Pose Estimation (I8)
|
80% |
57
0.23 IPS |
|
Object Detection (F32)
|
100% |
55
1.94 IPS |
|
Object Detection (F16)
|
100% |
54
1.89 IPS |
|
Object Detection (I8)
|
52% |
124
4.35 IPS |
|
Face Detection (F32)
|
100% |
80
0.92 IPS |
|
Face Detection (F16)
|
100% |
78
0.90 IPS |
|
Face Detection (I8)
|
75% |
146
1.68 IPS |
|
Text Classification (F32)
|
100% |
55
21.9 IPS |
|
Text Classification (F16)
|
100% |
56
22.1 IPS |
|
Machine Translation (F32)
|
100% |
12
1.86 IPS |
|
Machine Translation (F16)
|
100% |
12
1.87 IPS |