User | rgba |
Upload Date | September 07 2024 08:38 AM |
Views | 8 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | Qualcomm Qualcomm |
System Information | |
---|---|
Operating System | Android 13 |
Model | Xiaomi 21051182G |
Model ID | Xiaomi 21051182G |
Motherboard | nabu |
Governor | schedutil |
CPU Information | |
---|---|
Name | Qualcomm Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
Base Frequency | 1.78 GHz |
Cluster 1 | 4 Cores @ 1.79 GHz |
Cluster 2 | 3 Cores @ 2.42 GHz |
Cluster 3 | 1 Core @ 2.96 GHz |
Memory Information | |
---|---|
Size | 5.37 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
235
43.8 IPS |
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
Image Classification (Q)
|
97% |
410
76.6 IPS |
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
Image Segmentation (Q)
|
98% |
222
3.61 IPS |
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
Pose Estimation (HP)
|
100% |
371
0.43 IPS |
|
Pose Estimation (Q)
|
95% |
369
0.43 IPS |
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
Object Detection (Q)
|
89% |
261
20.9 IPS |
|
Face Detection (SP)
|
100% |
515
6.12 IPS |
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
Face Detection (Q)
|
97% |
1054
12.6 IPS |
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
Depth Estimation (HP)
|
99% |
1015
7.84 IPS |
|
Depth Estimation (Q)
|
62% |
821
7.78 IPS |
|
Style Transfer (SP)
|
100% |
1104
1.42 IPS |
|
Style Transfer (HP)
|
100% |
2681
3.45 IPS |
|
Style Transfer (Q)
|
98% |
2668
3.44 IPS |
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
Image Super-Resolution (Q)
|
97% |
567
21.0 IPS |
|
Text Classification (SP)
|
100% |
45
59.6 IPS |
|
Text Classification (HP)
|
100% |
45
60.0 IPS |
|
Text Classification (Q)
|
91% |
94
126.1 IPS |
|
Machine Translation (SP)
|
100% |
82
1.42 IPS |
|
Machine Translation (HP)
|
100% |
84
1.44 IPS |
|
Machine Translation (Q)
|
57% |
73
1.78 IPS |