| Upload Date | December 08 2022 09:24 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note10 Lite |
| Model ID | samsung SM-N770F |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 5.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
172
18.4 IPS |
|
|
Image Classification (F16)
|
100% |
171
18.3 IPS |
|
|
Image Classification (I8)
|
81% |
80
8.55 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
1.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
219
1.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
150
0.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
22
0.09 IPS |
|
|
Object Detection (F32)
|
100% |
171
6.01 IPS |
|
|
Object Detection (F16)
|
100% |
174
6.12 IPS |
|
|
Object Detection (I8)
|
52% |
94
3.31 IPS |
|
|
Face Detection (F32)
|
100% |
227
2.61 IPS |
|
|
Face Detection (F16)
|
100% |
228
2.62 IPS |
|
|
Face Detection (I8)
|
75% |
131
1.50 IPS |
|
|
Text Classification (F32)
|
100% |
294
116.2 IPS |
|
|
Text Classification (F16)
|
100% |
291
115.3 IPS |
|
|
Machine Translation (F32)
|
100% |
180
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
179
27.5 IPS |
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