| Upload Date | December 09 2022 05:20 AM |
| Views | 3 |
| 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 | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
451
48.3 IPS |
|
|
Image Classification (F16)
|
100% |
749
80.3 IPS |
|
|
Image Classification (I8)
|
80% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1016
6.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
1655
10.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1628
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
467
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
814
3.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
810
3.28 IPS |
|
|
Object Detection (F32)
|
100% |
311
10.9 IPS |
|
|
Object Detection (F16)
|
99% |
419
14.7 IPS |
|
|
Object Detection (I8)
|
53% |
385
13.5 IPS |
|
|
Face Detection (F32)
|
100% |
866
9.95 IPS |
|
|
Face Detection (F16)
|
97% |
1473
16.9 IPS |
|
|
Face Detection (I8)
|
75% |
1313
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
345
136.5 IPS |
|
|
Text Classification (F16)
|
98% |
396
156.7 IPS |
|
|
Machine Translation (F32)
|
100% |
335
51.6 IPS |
|
|
Machine Translation (F16)
|
100% |
328
50.5 IPS |
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