Upload Date | April 20 2025 06:56 AM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Qualcomm Snapdragon 870 |
System Information | |
---|---|
Operating System | Android 13 |
Model | Xiaomi Poco F3 |
Model ID | Xiaomi M2012K11AG |
Motherboard | alioth |
Governor | schedutil |
CPU Information | |
---|---|
Name | ARM Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 3 Cores @ 2.42 GHz |
Cluster 3 | 1 Core @ 3.19 GHz |
Memory Information | |
---|---|
Size | 7.34 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
484
90.1 IPS |
|
Image Classification (HP)
|
100% |
512
95.1 IPS |
|
Image Classification (Q)
|
100% |
1350
251.1 IPS |
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
Image Segmentation (Q)
|
98% |
1580
25.7 IPS |
|
Pose Estimation (SP)
|
100% |
2364
2.76 IPS |
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
Pose Estimation (Q)
|
84% |
3544
4.20 IPS |
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
Object Detection (Q)
|
83% |
1353
109.3 IPS |
|
Face Detection (SP)
|
100% |
1620
19.2 IPS |
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
Face Detection (Q)
|
95% |
3188
38.1 IPS |
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
Depth Estimation (HP)
|
99% |
1752
13.5 IPS |
|
Depth Estimation (Q)
|
64% |
3239
29.7 IPS |
|
Style Transfer (SP)
|
89% |
4106
5.33 IPS |
|
Style Transfer (HP)
|
89% |
4129
5.36 IPS |
|
Style Transfer (Q)
|
98% |
8275
10.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
648
24.0 IPS |
|
Text Classification (SP)
|
100% |
175
234.1 IPS |
|
Text Classification (HP)
|
100% |
177
236.0 IPS |
|
Text Classification (Q)
|
88% |
291
392.8 IPS |
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
Machine Translation (HP)
|
100% |
265
4.57 IPS |
|
Machine Translation (Q)
|
50% |
169
6.00 IPS |