Upload Date | April 21 2022 06:01 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 12 |
Model | samsung SM-G973F |
Model ID | samsung SM-G973F |
Motherboard | exynos9820 |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
Base Frequency | 1.95 GHz |
Cluster 1 | 4 Cores @ 1.95 GHz |
Cluster 2 | 2 Cores @ 2.31 GHz |
Cluster 3 | 2 Cores @ 2.73 GHz |
Memory Information | |
---|---|
Size | 7.25 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
100
10.7 IPS |
|
Image Classification (F16)
|
100% |
99
10.6 IPS |
|
Image Classification (I8)
|
81% |
108
11.6 IPS |
|
Image Segmentation (F32)
|
100% |
215
1.33 IPS |
|
Image Segmentation (F16)
|
100% |
211
1.30 IPS |
|
Image Segmentation (I8)
|
89% |
403
2.49 IPS |
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
Object Detection (F32)
|
100% |
136
4.77 IPS |
|
Object Detection (F16)
|
100% |
140
4.91 IPS |
|
Object Detection (I8)
|
52% |
163
5.74 IPS |
|
Face Detection (F32)
|
100% |
221
2.54 IPS |
|
Face Detection (F16)
|
100% |
219
2.52 IPS |
|
Face Detection (I8)
|
75% |
294
3.37 IPS |
|
Text Classification (F32)
|
100% |
162
64.1 IPS |
|
Text Classification (F16)
|
100% |
195
76.9 IPS |
|
Machine Translation (F32)
|
100% |
302
46.6 IPS |
|
Machine Translation (F16)
|
100% |
289
44.5 IPS |