| Upload Date | July 16 2022 09:07 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Tab S6 |
| Model ID | samsung SM-T865 |
| 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 | 5.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
188
20.2 IPS |
|
|
Image Classification (F16)
|
100% |
192
20.6 IPS |
|
|
Image Classification (I8)
|
81% |
211
22.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
378
2.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
368
2.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
601
3.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
219
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
163
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
219
7.70 IPS |
|
|
Object Detection (F16)
|
100% |
234
8.21 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.83 IPS |
|
|
Face Detection (F32)
|
100% |
435
5.00 IPS |
|
|
Face Detection (F16)
|
100% |
431
4.95 IPS |
|
|
Face Detection (I8)
|
75% |
408
4.69 IPS |
|
|
Text Classification (F32)
|
100% |
248
98.2 IPS |
|
|
Text Classification (F16)
|
100% |
252
99.6 IPS |
|
|
Machine Translation (F32)
|
100% |
307
47.3 IPS |
|
|
Machine Translation (F16)
|
100% |
309
47.6 IPS |
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