| Upload Date | December 09 2022 02:25 AM |
| Views | 5 |
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-T735N |
| Model ID | samsung SM-T735N |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
128
13.8 IPS |
|
|
Image Classification (F16)
|
100% |
127
13.6 IPS |
|
|
Image Classification (I8)
|
81% |
166
17.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
414
2.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
425
2.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
608
3.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
156
0.63 IPS |
|
|
Object Detection (F32)
|
100% |
195
6.84 IPS |
|
|
Object Detection (F16)
|
100% |
256
8.98 IPS |
|
|
Object Detection (I8)
|
52% |
227
7.98 IPS |
|
|
Face Detection (F32)
|
100% |
341
3.92 IPS |
|
|
Face Detection (F16)
|
100% |
341
3.92 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
288
113.8 IPS |
|
|
Text Classification (F16)
|
100% |
285
112.6 IPS |
|
|
Machine Translation (F32)
|
100% |
333
51.3 IPS |
|
|
Machine Translation (F16)
|
100% |
326
50.3 IPS |
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