Upload Date | August 15 2022 12:17 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 | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
293
31.4 IPS |
|
Image Classification (F16)
|
100% |
713
76.4 IPS |
|
Image Classification (I8)
|
80% |
611
65.4 IPS |
|
Image Segmentation (F32)
|
100% |
1220
7.53 IPS |
|
Image Segmentation (F16)
|
100% |
3001
18.5 IPS |
|
Image Segmentation (I8)
|
89% |
2802
17.3 IPS |
|
Pose Estimation (F32)
|
100% |
466
1.89 IPS |
|
Pose Estimation (F16)
|
100% |
1136
4.60 IPS |
|
Pose Estimation (I8)
|
80% |
1096
4.44 IPS |
|
Object Detection (F32)
|
100% |
234
8.20 IPS |
|
Object Detection (F16)
|
100% |
490
17.2 IPS |
|
Object Detection (I8)
|
54% |
461
16.2 IPS |
|
Face Detection (F32)
|
100% |
1166
13.4 IPS |
|
Face Detection (F16)
|
97% |
2339
26.9 IPS |
|
Face Detection (I8)
|
76% |
1973
22.7 IPS |
|
Text Classification (F32)
|
100% |
286
113.2 IPS |
|
Text Classification (F16)
|
98% |
496
196.2 IPS |
|
Machine Translation (F32)
|
100% |
958
147.7 IPS |
|
Machine Translation (F16)
|
100% |
981
151.2 IPS |