Upload Date | August 15 2022 12:20 PM |
Views | 4 |
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% |
300
32.1 IPS |
|
Image Classification (F16)
|
100% |
505
54.1 IPS |
|
Image Classification (I8)
|
81% |
309
33.1 IPS |
|
Image Segmentation (F32)
|
100% |
423
2.61 IPS |
|
Image Segmentation (F16)
|
100% |
420
2.60 IPS |
|
Image Segmentation (I8)
|
89% |
563
3.47 IPS |
|
Pose Estimation (F32)
|
100% |
303
1.23 IPS |
|
Pose Estimation (F16)
|
100% |
287
1.16 IPS |
|
Pose Estimation (I8)
|
80% |
138
0.56 IPS |
|
Object Detection (F32)
|
100% |
377
13.2 IPS |
|
Object Detection (F16)
|
100% |
218
7.67 IPS |
|
Object Detection (I8)
|
52% |
497
17.4 IPS |
|
Face Detection (F32)
|
100% |
392
4.51 IPS |
|
Face Detection (F16)
|
100% |
380
4.36 IPS |
|
Face Detection (I8)
|
75% |
606
6.96 IPS |
|
Text Classification (F32)
|
100% |
1122
443.8 IPS |
|
Text Classification (F16)
|
100% |
1127
445.6 IPS |
|
Machine Translation (F32)
|
100% |
963
148.4 IPS |
|
Machine Translation (F16)
|
100% |
958
147.6 IPS |