User | zxhsean |
Upload Date | December 02 2024 12:29 PM |
Views | 7 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 2410DPN6CC |
Model ID | Xiaomi 2410DPN6CC |
Motherboard | sun |
Governor | walt |
CPU Information | |
---|---|
Name | Qualcomm ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
Base Frequency | 3.53 GHz |
Cluster 1 | 6 Cores @ 3.53 GHz |
Cluster 2 | 2 Cores @ 4.32 GHz |
Memory Information | |
---|---|
Size | 14.76 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
424
78.8 IPS |
|
Image Classification (HP)
|
100% |
19504
3.63 KIPS |
|
Image Classification (Q)
|
97% |
45428
8.48 KIPS |
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
Image Segmentation (HP)
|
100% |
13543
219.5 IPS |
|
Image Segmentation (Q)
|
98% |
39651
644.8 IPS |
|
Pose Estimation (SP)
|
100% |
676
0.79 IPS |
|
Pose Estimation (HP)
|
100% |
110943
129.5 IPS |
|
Pose Estimation (Q)
|
98% |
396690
464.3 IPS |
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
Object Detection (HP)
|
100% |
16865
1.34 KIPS |
|
Object Detection (Q)
|
85% |
19684
1.58 KIPS |
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
Face Detection (HP)
|
100% |
37535
446.0 IPS |
|
Face Detection (Q)
|
97% |
138411
1.65 KIPS |
|
Depth Estimation (SP)
|
100% |
838
6.46 IPS |
|
Depth Estimation (HP)
|
99% |
70984
546.9 IPS |
|
Depth Estimation (Q)
|
63% |
125909
1.17 KIPS |
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
Style Transfer (HP)
|
98% |
80810
104.2 IPS |
|
Style Transfer (Q)
|
98% |
409905
528.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
340
12.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
47835
1.77 KIPS |
|
Image Super-Resolution (Q)
|
97% |
123155
4.56 KIPS |
|
Text Classification (SP)
|
100% |
430
573.9 IPS |
|
Text Classification (HP)
|
100% |
3374
4.50 KIPS |
|
Text Classification (Q)
|
93% |
7046
9.46 KIPS |
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
Machine Translation (HP)
|
100% |
4175
71.9 IPS |
|
Machine Translation (Q)
|
56% |
2734
70.4 IPS |