Upload Date | March 04 2022 03:54 PM |
Views | 5 |
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% |
210
22.5 IPS |
|
Image Classification (F16)
|
100% |
195
20.9 IPS |
|
Image Classification (I8)
|
81% |
172
18.4 IPS |
|
Image Segmentation (F32)
|
100% |
457
2.82 IPS |
|
Image Segmentation (F16)
|
100% |
453
2.80 IPS |
|
Image Segmentation (I8)
|
89% |
688
4.25 IPS |
|
Pose Estimation (F32)
|
100% |
268
1.08 IPS |
|
Pose Estimation (F16)
|
100% |
269
1.09 IPS |
|
Pose Estimation (I8)
|
80% |
204
0.83 IPS |
|
Object Detection (F32)
|
100% |
216
7.59 IPS |
|
Object Detection (F16)
|
100% |
213
7.49 IPS |
|
Object Detection (I8)
|
52% |
232
8.15 IPS |
|
Face Detection (F32)
|
100% |
542
6.23 IPS |
|
Face Detection (F16)
|
100% |
538
6.18 IPS |
|
Face Detection (I8)
|
75% |
468
5.38 IPS |
|
Text Classification (F32)
|
100% |
289
114.5 IPS |
|
Text Classification (F16)
|
100% |
316
125.0 IPS |
|
Machine Translation (F32)
|
100% |
710
109.4 IPS |
|
Machine Translation (F16)
|
100% |
708
109.2 IPS |