| Upload Date | December 08 2022 01:39 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S906E |
| Model ID | samsung SM-S906E |
| 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 | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
482
51.7 IPS |
|
|
Image Classification (F16)
|
100% |
474
50.8 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
4.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
723
4.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
942
5.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
243
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
444
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
444
15.6 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.67 IPS |
|
|
Face Detection (F32)
|
100% |
734
8.43 IPS |
|
|
Face Detection (F16)
|
100% |
717
8.23 IPS |
|
|
Face Detection (I8)
|
75% |
528
6.07 IPS |
|
|
Text Classification (F32)
|
100% |
341
134.7 IPS |
|
|
Text Classification (F16)
|
100% |
339
134.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1057
163.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1048
161.5 IPS |
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