User | kitsunechan_2525 |
Upload Date | May 18 2025 12:54 PM |
Views | 5 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 2410CRP4CC |
Model ID | Xiaomi 2410CRP4CC |
Motherboard | uke |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 1.90 GHz |
Cluster 1 | 3 Cores @ 1.90 GHz |
Cluster 2 | 4 Cores @ 2.61 GHz |
Cluster 3 | 1 Core @ 2.80 GHz |
Memory Information | |
---|---|
Size | 11.20 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
215
40.0 IPS |
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
Image Classification (Q)
|
97% |
23011
4.29 KIPS |
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
Image Segmentation (Q)
|
98% |
17309
281.5 IPS |
|
Pose Estimation (SP)
|
100% |
227
0.27 IPS |
|
Pose Estimation (HP)
|
100% |
227
0.26 IPS |
|
Pose Estimation (Q)
|
98% |
135251
158.3 IPS |
|
Object Detection (SP)
|
100% |
106
8.43 IPS |
|
Object Detection (HP)
|
100% |
124
9.86 IPS |
|
Object Detection (Q)
|
86% |
10799
868.3 IPS |
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
Face Detection (HP)
|
100% |
357
4.24 IPS |
|
Face Detection (Q)
|
97% |
52761
629.2 IPS |
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
Depth Estimation (Q)
|
63% |
57412
537.6 IPS |
|
Style Transfer (SP)
|
100% |
550
0.71 IPS |
|
Style Transfer (HP)
|
100% |
550
0.71 IPS |
|
Style Transfer (Q)
|
98% |
203624
262.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
144
5.32 IPS |
|
Image Super-Resolution (HP)
|
100% |
144
5.32 IPS |
|
Image Super-Resolution (Q)
|
97% |
47974
1.78 KIPS |
|
Text Classification (SP)
|
100% |
175
233.3 IPS |
|
Text Classification (HP)
|
100% |
147
195.7 IPS |
|
Text Classification (Q)
|
93% |
5420
7.27 KIPS |
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
Machine Translation (Q)
|
55% |
1400
36.7 IPS |