| Upload Date | December 09 2022 02:33 AM |
| Views | 4 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-X706N |
| Model ID | samsung SM-X706N |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1328
142.3 IPS |
|
|
Image Classification (F16)
|
100% |
8915
955.2 IPS |
|
|
Image Classification (I8)
|
80% |
20609
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2831
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8271
51.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
41197
254.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
601
2.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
10450
42.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
54592
220.9 IPS |
|
|
Object Detection (F32)
|
100% |
1035
36.3 IPS |
|
|
Object Detection (F16)
|
100% |
1800
63.2 IPS |
|
|
Object Detection (I8)
|
53% |
1996
70.0 IPS |
|
|
Face Detection (F32)
|
100% |
1996
22.9 IPS |
|
|
Face Detection (F16)
|
97% |
7136
82.0 IPS |
|
|
Face Detection (I8)
|
76% |
47448
545.1 IPS |
|
|
Text Classification (F32)
|
100% |
17
6.70 IPS |
|
|
Text Classification (F16)
|
100% |
801
317.0 IPS |
|
|
Machine Translation (F32)
|
100% |
991
152.7 IPS |
|
|
Machine Translation (F16)
|
100% |
979
150.9 IPS |
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