Upload Date | October 14 2022 12:03 PM |
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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
355
38.0 IPS |
|
Image Classification (F16)
|
100% |
353
37.8 IPS |
|
Image Classification (I8)
|
81% |
174
18.6 IPS |
|
Image Segmentation (F32)
|
100% |
635
3.92 IPS |
|
Image Segmentation (F16)
|
100% |
642
3.97 IPS |
|
Image Segmentation (I8)
|
89% |
727
4.49 IPS |
|
Pose Estimation (F32)
|
100% |
319
1.29 IPS |
|
Pose Estimation (F16)
|
100% |
313
1.26 IPS |
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
Object Detection (F32)
|
100% |
434
15.2 IPS |
|
Object Detection (F16)
|
100% |
434
15.2 IPS |
|
Object Detection (I8)
|
52% |
249
8.74 IPS |
|
Face Detection (F32)
|
100% |
681
7.82 IPS |
|
Face Detection (F16)
|
100% |
678
7.79 IPS |
|
Face Detection (I8)
|
75% |
473
5.43 IPS |
|
Text Classification (F32)
|
100% |
289
114.2 IPS |
|
Text Classification (F16)
|
100% |
290
114.8 IPS |
|
Machine Translation (F32)
|
100% |
1000
154.1 IPS |
|
Machine Translation (F16)
|
100% |
996
153.5 IPS |