Upload Date | October 24 2022 02:04 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 13 |
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 | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
312
33.5 IPS |
|
Image Classification (F16)
|
100% |
731
78.4 IPS |
|
Image Classification (I8)
|
80% |
601
64.4 IPS |
|
Image Segmentation (F32)
|
100% |
1246
7.70 IPS |
|
Image Segmentation (F16)
|
100% |
3043
18.8 IPS |
|
Image Segmentation (I8)
|
89% |
2900
17.9 IPS |
|
Pose Estimation (F32)
|
100% |
507
2.05 IPS |
|
Pose Estimation (F16)
|
100% |
1105
4.47 IPS |
|
Pose Estimation (I8)
|
80% |
1088
4.40 IPS |
|
Object Detection (F32)
|
100% |
244
8.57 IPS |
|
Object Detection (F16)
|
100% |
511
17.9 IPS |
|
Object Detection (I8)
|
54% |
496
17.4 IPS |
|
Face Detection (F32)
|
100% |
1154
13.3 IPS |
|
Face Detection (F16)
|
97% |
2233
25.6 IPS |
|
Face Detection (I8)
|
76% |
1955
22.5 IPS |
|
Text Classification (F32)
|
100% |
284
112.4 IPS |
|
Text Classification (F16)
|
98% |
498
197.0 IPS |
|
Machine Translation (F32)
|
100% |
920
141.7 IPS |
|
Machine Translation (F16)
|
100% |
931
143.5 IPS |