Upload Date | March 01 2022 07:01 PM |
Views | 2 |
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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
154
16.5 IPS |
|
Image Classification (F16)
|
100% |
142
15.2 IPS |
|
Image Classification (I8)
|
81% |
168
18.0 IPS |
|
Image Segmentation (F32)
|
100% |
493
3.04 IPS |
|
Image Segmentation (F16)
|
100% |
490
3.03 IPS |
|
Image Segmentation (I8)
|
89% |
845
5.22 IPS |
|
Pose Estimation (F32)
|
100% |
318
1.29 IPS |
|
Pose Estimation (F16)
|
100% |
311
1.26 IPS |
|
Pose Estimation (I8)
|
80% |
249
1.01 IPS |
|
Object Detection (F32)
|
100% |
198
6.96 IPS |
|
Object Detection (F16)
|
100% |
185
6.51 IPS |
|
Object Detection (I8)
|
52% |
220
7.71 IPS |
|
Face Detection (F32)
|
100% |
552
6.34 IPS |
|
Face Detection (F16)
|
100% |
547
6.28 IPS |
|
Face Detection (I8)
|
75% |
455
5.23 IPS |
|
Text Classification (F32)
|
100% |
268
106.0 IPS |
|
Text Classification (F16)
|
100% |
310
122.4 IPS |
|
Machine Translation (F32)
|
100% |
996
153.4 IPS |
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |