Upload Date | August 19 2022 09:46 PM |
Views | 2 |
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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
391
41.9 IPS |
|
Image Classification (F16)
|
100% |
172
18.4 IPS |
|
Image Classification (I8)
|
81% |
171
18.3 IPS |
|
Image Segmentation (F32)
|
100% |
438
2.71 IPS |
|
Image Segmentation (F16)
|
100% |
430
2.65 IPS |
|
Image Segmentation (I8)
|
89% |
717
4.43 IPS |
|
Pose Estimation (F32)
|
100% |
250
1.01 IPS |
|
Pose Estimation (F16)
|
100% |
250
1.01 IPS |
|
Pose Estimation (I8)
|
80% |
196
0.79 IPS |
|
Object Detection (F32)
|
100% |
212
7.43 IPS |
|
Object Detection (F16)
|
100% |
217
7.61 IPS |
|
Object Detection (I8)
|
52% |
217
7.63 IPS |
|
Face Detection (F32)
|
100% |
464
5.33 IPS |
|
Face Detection (F16)
|
100% |
457
5.25 IPS |
|
Face Detection (I8)
|
75% |
421
4.83 IPS |
|
Text Classification (F32)
|
100% |
495
195.8 IPS |
|
Text Classification (F16)
|
100% |
326
128.9 IPS |
|
Machine Translation (F32)
|
100% |
709
109.2 IPS |
|
Machine Translation (F16)
|
100% |
707
109.0 IPS |