| Upload Date | July 16 2022 03:28 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
182
19.5 IPS |
|
|
Image Classification (F16)
|
100% |
183
19.6 IPS |
|
|
Image Classification (I8)
|
81% |
119
12.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
1.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
246
1.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
375
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
107
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
187
6.57 IPS |
|
|
Object Detection (F16)
|
100% |
191
6.69 IPS |
|
|
Object Detection (I8)
|
52% |
153
5.39 IPS |
|
|
Face Detection (F32)
|
100% |
316
3.64 IPS |
|
|
Face Detection (F16)
|
100% |
314
3.60 IPS |
|
|
Face Detection (I8)
|
75% |
257
2.96 IPS |
|
|
Text Classification (F32)
|
100% |
182
72.0 IPS |
|
|
Text Classification (F16)
|
100% |
186
73.4 IPS |
|
|
Machine Translation (F32)
|
100% |
194
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
Compare
Set Baseline