Upload Date | April 10 2022 10:41 AM |
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 | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
174
18.7 IPS |
|
Image Classification (F16)
|
100% |
116
12.4 IPS |
|
Image Classification (I8)
|
81% |
294
31.5 IPS |
|
Image Segmentation (F32)
|
100% |
444
2.74 IPS |
|
Image Segmentation (F16)
|
100% |
431
2.66 IPS |
|
Image Segmentation (I8)
|
89% |
562
3.47 IPS |
|
Pose Estimation (F32)
|
100% |
301
1.22 IPS |
|
Pose Estimation (F16)
|
100% |
295
1.19 IPS |
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
Object Detection (F32)
|
100% |
176
6.17 IPS |
|
Object Detection (F16)
|
100% |
177
6.21 IPS |
|
Object Detection (I8)
|
52% |
498
17.5 IPS |
|
Face Detection (F32)
|
100% |
458
5.26 IPS |
|
Face Detection (F16)
|
100% |
382
4.39 IPS |
|
Face Detection (I8)
|
75% |
610
7.01 IPS |
|
Text Classification (F32)
|
100% |
1119
442.7 IPS |
|
Text Classification (F16)
|
100% |
1136
449.2 IPS |
|
Machine Translation (F32)
|
100% |
953
146.9 IPS |
|
Machine Translation (F16)
|
100% |
948
146.2 IPS |