| Upload Date | July 16 2022 03:27 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-G965F |
| Model ID | samsung SM-G965F |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.6 IPS |
|
|
Image Classification (F16)
|
100% |
210
22.5 IPS |
|
|
Image Classification (I8)
|
81% |
113
12.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
217
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
456
2.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
217
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
200
0.81 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
229
8.04 IPS |
|
|
Object Detection (F16)
|
100% |
234
8.22 IPS |
|
|
Object Detection (I8)
|
52% |
168
5.91 IPS |
|
|
Face Detection (F32)
|
100% |
452
5.19 IPS |
|
|
Face Detection (F16)
|
100% |
455
5.22 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.11 IPS |
|
|
Text Classification (F32)
|
100% |
200
79.0 IPS |
|
|
Text Classification (F16)
|
100% |
206
81.6 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
184
28.4 IPS |
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