Upload Date | August 16 2022 03:21 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 12 |
Model | samsung SM-S908B |
Model ID | samsung SM-S908B |
Motherboard | s5e9925 |
Governor | energy_aware |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
Base Frequency | 1.82 GHz |
Cluster 1 | 4 Cores @ 1.82 GHz |
Cluster 2 | 3 Cores @ 2.52 GHz |
Cluster 3 | 1 Core @ 2.80 GHz |
Memory Information | |
---|---|
Size | 10.27 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
138
14.8 IPS |
|
Image Classification (F16)
|
100% |
110
11.8 IPS |
|
Image Classification (I8)
|
81% |
450
48.3 IPS |
|
Image Segmentation (F32)
|
100% |
565
3.49 IPS |
|
Image Segmentation (F16)
|
100% |
546
3.38 IPS |
|
Image Segmentation (I8)
|
89% |
821
5.07 IPS |
|
Pose Estimation (F32)
|
100% |
300
1.22 IPS |
|
Pose Estimation (F16)
|
100% |
290
1.17 IPS |
|
Pose Estimation (I8)
|
80% |
140
0.56 IPS |
|
Object Detection (F32)
|
100% |
194
6.82 IPS |
|
Object Detection (F16)
|
100% |
174
6.10 IPS |
|
Object Detection (I8)
|
52% |
502
17.6 IPS |
|
Face Detection (F32)
|
100% |
386
4.43 IPS |
|
Face Detection (F16)
|
100% |
378
4.34 IPS |
|
Face Detection (I8)
|
75% |
612
7.03 IPS |
|
Text Classification (F32)
|
100% |
1149
454.5 IPS |
|
Text Classification (F16)
|
100% |
1153
455.9 IPS |
|
Machine Translation (F32)
|
100% |
981
151.2 IPS |
|
Machine Translation (F16)
|
100% |
989
152.3 IPS |