Upload Date | October 23 2021 03:26 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 11 |
Model | samsung SM-N976N |
Model ID | samsung SM-N976N |
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 | 11.02 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
229
24.6 IPS |
|
Image Classification (F16)
|
100% |
225
24.1 IPS |
|
Image Classification (I8)
|
81% |
149
15.9 IPS |
|
Image Segmentation (F32)
|
100% |
214
1.32 IPS |
|
Image Segmentation (F16)
|
100% |
198
1.23 IPS |
|
Image Segmentation (I8)
|
89% |
352
2.17 IPS |
|
Pose Estimation (F32)
|
100% |
114
0.46 IPS |
|
Pose Estimation (F16)
|
100% |
111
0.45 IPS |
|
Pose Estimation (I8)
|
80% |
119
0.48 IPS |
|
Object Detection (F32)
|
100% |
140
4.92 IPS |
|
Object Detection (F16)
|
100% |
117
4.10 IPS |
|
Object Detection (I8)
|
52% |
134
4.70 IPS |
|
Face Detection (F32)
|
100% |
182
2.09 IPS |
|
Face Detection (F16)
|
100% |
178
2.04 IPS |
|
Face Detection (I8)
|
75% |
227
2.61 IPS |
|
Text Classification (F32)
|
100% |
209
82.7 IPS |
|
Text Classification (F16)
|
100% |
110
43.4 IPS |
|
Machine Translation (F32)
|
100% |
105
16.2 IPS |
|
Machine Translation (F16)
|
100% |
105
16.1 IPS |