| Upload Date | December 08 2022 05:43 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note10+ |
| Model ID | samsung SM-N975U |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
692
74.2 IPS |
|
|
Image Classification (F16)
|
100% |
970
103.9 IPS |
|
|
Image Classification (I8)
|
80% |
2184
234.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
930
5.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
6.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
5047
31.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
863
3.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
3296
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
559
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
710
24.9 IPS |
|
|
Object Detection (I8)
|
52% |
1026
36.0 IPS |
|
|
Face Detection (F32)
|
100% |
1102
12.7 IPS |
|
|
Face Detection (F16)
|
97% |
1450
16.7 IPS |
|
|
Face Detection (I8)
|
75% |
3562
40.9 IPS |
|
|
Text Classification (F32)
|
54% |
39
15.4 IPS |
|
|
Text Classification (F16)
|
54% |
37
14.6 IPS |
|
|
Machine Translation (F32)
|
100% |
448
69.1 IPS |
|
|
Machine Translation (F16)
|
100% |
450
69.3 IPS |
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