| Upload Date | December 09 2022 05:17 AM |
| Views | 8 |
| 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% |
119
12.8 IPS |
|
|
Image Classification (F16)
|
100% |
125
13.4 IPS |
|
|
Image Classification (I8)
|
81% |
165
17.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
411
2.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
406
2.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
625
3.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
153
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
157
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
196
6.87 IPS |
|
|
Object Detection (F16)
|
100% |
208
7.29 IPS |
|
|
Object Detection (I8)
|
52% |
217
7.62 IPS |
|
|
Face Detection (F32)
|
100% |
340
3.90 IPS |
|
|
Face Detection (F16)
|
100% |
345
3.96 IPS |
|
|
Face Detection (I8)
|
75% |
372
4.27 IPS |
|
|
Text Classification (F32)
|
100% |
286
113.2 IPS |
|
|
Text Classification (F16)
|
100% |
287
113.5 IPS |
|
|
Machine Translation (F32)
|
100% |
327
50.3 IPS |
|
|
Machine Translation (F16)
|
100% |
328
50.5 IPS |
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