Upload Date | September 17 2024 08:06 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Qualcomm Qualcomm |
System Information | |
---|---|
Operating System | Android 14 |
Model | asus Zenfone 5Z |
Model ID | asus Zenfone 5Z |
Motherboard | sdm845 |
Governor | schedutil |
CPU Information | |
---|---|
Name | Qualcomm Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
Base Frequency | 1.77 GHz |
Cluster 1 | 4 Cores @ 1.77 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Memory Information | |
---|---|
Size | 7.50 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
Image Classification (HP)
|
100% |
420
78.2 IPS |
|
Image Classification (Q)
|
99% |
113
21.1 IPS |
|
Image Segmentation (SP)
|
100% |
295
4.79 IPS |
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
Image Segmentation (Q)
|
98% |
101
1.64 IPS |
|
Pose Estimation (SP)
|
100% |
984
1.15 IPS |
|
Pose Estimation (HP)
|
100% |
2322
2.71 IPS |
|
Pose Estimation (Q)
|
98% |
227
0.27 IPS |
|
Object Detection (SP)
|
100% |
282
22.3 IPS |
|
Object Detection (HP)
|
100% |
58
4.57 IPS |
|
Object Detection (Q)
|
87% |
116
9.32 IPS |
|
Face Detection (SP)
|
100% |
695
8.26 IPS |
|
Face Detection (HP)
|
100% |
182
2.17 IPS |
|
Face Detection (Q)
|
97% |
230
2.75 IPS |
|
Depth Estimation (SP)
|
99% |
309
2.38 IPS |
|
Depth Estimation (HP)
|
99% |
137
1.06 IPS |
|
Depth Estimation (Q)
|
64% |
241
2.19 IPS |
|
Style Transfer (SP)
|
100% |
437
0.56 IPS |
|
Style Transfer (HP)
|
100% |
260
0.33 IPS |
|
Style Transfer (Q)
|
98% |
596
0.77 IPS |
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
Image Super-Resolution (Q)
|
97% |
125
4.63 IPS |
|
Text Classification (SP)
|
71% |
2
2.79 IPS |
|
Text Classification (HP)
|
100% |
104
139.3 IPS |
|
Text Classification (Q)
|
91% |
126
169.2 IPS |
|
Machine Translation (SP)
|
100% |
50
0.87 IPS |
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
Machine Translation (Q)
|
57% |
116
2.83 IPS |