| Upload Date | December 08 2022 10:24 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A525F |
| Model ID | samsung SM-A525F |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
319
34.1 IPS |
|
|
Image Classification (F16)
|
100% |
452
48.5 IPS |
|
|
Image Classification (I8)
|
80% |
987
105.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
472
2.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
546
3.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
2306
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
330
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
1130
4.57 IPS |
|
|
Object Detection (F32)
|
100% |
286
10.0 IPS |
|
|
Object Detection (F16)
|
100% |
352
12.3 IPS |
|
|
Object Detection (I8)
|
52% |
488
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
381
4.38 IPS |
|
|
Face Detection (F16)
|
97% |
458
5.27 IPS |
|
|
Face Detection (I8)
|
75% |
1619
18.6 IPS |
|
|
Text Classification (F32)
|
54% |
30
11.7 IPS |
|
|
Text Classification (F16)
|
54% |
32
12.6 IPS |
|
|
Machine Translation (F32)
|
100% |
201
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
197
30.4 IPS |
Compare
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