| Upload Date | December 08 2022 10:26 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A525F |
| Model ID | samsung SM-A525F |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
346
37.1 IPS |
|
|
Image Classification (F16)
|
100% |
660
70.8 IPS |
|
|
Image Classification (I8)
|
80% |
589
63.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
4.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
1505
9.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1385
8.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
357
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
687
2.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
685
2.77 IPS |
|
|
Object Detection (F32)
|
100% |
266
9.34 IPS |
|
|
Object Detection (F16)
|
99% |
357
12.5 IPS |
|
|
Object Detection (I8)
|
53% |
357
12.5 IPS |
|
|
Face Detection (F32)
|
100% |
697
8.01 IPS |
|
|
Face Detection (F16)
|
97% |
1266
14.5 IPS |
|
|
Face Detection (I8)
|
76% |
1105
12.7 IPS |
|
|
Text Classification (F32)
|
100% |
291
115.1 IPS |
|
|
Text Classification (F16)
|
98% |
341
135.0 IPS |
|
|
Machine Translation (F32)
|
100% |
192
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
148
22.8 IPS |
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