| Upload Date | December 09 2022 02:30 AM |
| Views | 8 |
| 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 | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1536
164.6 IPS |
|
|
Image Classification (F16)
|
100% |
2418
259.1 IPS |
|
|
Image Classification (I8)
|
80% |
2169
232.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4038
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6983
43.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
6449
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2041
8.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
3893
15.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
3874
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
582
20.4 IPS |
|
|
Object Detection (F16)
|
99% |
821
28.8 IPS |
|
|
Object Detection (I8)
|
53% |
886
31.1 IPS |
|
|
Face Detection (F32)
|
100% |
2803
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
5206
59.8 IPS |
|
|
Face Detection (I8)
|
75% |
4302
49.4 IPS |
|
|
Text Classification (F32)
|
100% |
812
321.3 IPS |
|
|
Text Classification (F16)
|
98% |
842
332.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1060
163.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1054
162.4 IPS |
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