| Upload Date | December 08 2022 09:56 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-N975F |
| Model ID | samsung SM-N975F |
| Motherboard | exynos9825 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
74
7.91 IPS |
|
|
Image Classification (F16)
|
100% |
72
7.68 IPS |
|
|
Image Classification (I8)
|
81% |
98
10.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
1.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
1.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
379
2.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.61 IPS |
|
|
Object Detection (F16)
|
100% |
120
4.22 IPS |
|
|
Object Detection (I8)
|
52% |
131
4.60 IPS |
|
|
Face Detection (F32)
|
100% |
180
2.07 IPS |
|
|
Face Detection (F16)
|
100% |
175
2.01 IPS |
|
|
Face Detection (I8)
|
75% |
229
2.63 IPS |
|
|
Text Classification (F32)
|
100% |
115
45.5 IPS |
|
|
Text Classification (F16)
|
100% |
110
43.6 IPS |
|
|
Machine Translation (F32)
|
100% |
274
42.2 IPS |
|
|
Machine Translation (F16)
|
100% |
291
44.8 IPS |
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