| Upload Date | December 09 2022 02:21 AM |
| Views | 9 |
| 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 | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
431
46.2 IPS |
|
|
Image Classification (F16)
|
100% |
424
45.4 IPS |
|
|
Image Classification (I8)
|
81% |
174
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
719
4.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
712
4.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
811
5.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
227
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
434
15.2 IPS |
|
|
Object Detection (F16)
|
100% |
430
15.1 IPS |
|
|
Object Detection (I8)
|
52% |
279
9.78 IPS |
|
|
Face Detection (F32)
|
100% |
696
8.00 IPS |
|
|
Face Detection (F16)
|
100% |
718
8.25 IPS |
|
|
Face Detection (I8)
|
75% |
487
5.60 IPS |
|
|
Text Classification (F32)
|
100% |
346
137.0 IPS |
|
|
Text Classification (F16)
|
100% |
351
138.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1066
164.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1065
164.1 IPS |
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