Upload Date | March 03 2022 02:53 AM |
Views | 3 |
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 | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
252
27.0 IPS |
|
Image Classification (F16)
|
100% |
684
73.3 IPS |
|
Image Classification (I8)
|
80% |
563
60.3 IPS |
|
Image Segmentation (F32)
|
100% |
978
6.04 IPS |
|
Image Segmentation (F16)
|
100% |
3244
20.0 IPS |
|
Image Segmentation (I8)
|
89% |
3093
19.1 IPS |
|
Pose Estimation (F32)
|
100% |
471
1.90 IPS |
|
Pose Estimation (F16)
|
100% |
1103
4.46 IPS |
|
Pose Estimation (I8)
|
80% |
1101
4.46 IPS |
|
Object Detection (F32)
|
100% |
214
7.52 IPS |
|
Object Detection (F16)
|
100% |
506
17.7 IPS |
|
Object Detection (I8)
|
54% |
485
17.0 IPS |
|
Face Detection (F32)
|
100% |
1071
12.3 IPS |
|
Face Detection (F16)
|
97% |
2043
23.5 IPS |
|
Face Detection (I8)
|
76% |
1642
18.9 IPS |
|
Text Classification (F32)
|
100% |
255
100.7 IPS |
|
Text Classification (F16)
|
98% |
402
158.9 IPS |
|
Machine Translation (F32)
|
100% |
961
148.2 IPS |
|
Machine Translation (F16)
|
100% |
959
147.8 IPS |