| User | fridriksa |
| Upload Date | October 28 2025 03:00 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2410CRP4CG |
| Model ID | Xiaomi 2410CRP4CG |
| 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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
97% |
22019
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
16854
274.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
91899
107.6 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
10327
830.3 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (Q)
|
97% |
55119
657.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
533
4.11 IPS |
|
|
Depth Estimation (Q)
|
63% |
53329
499.4 IPS |
|
|
Style Transfer (SP)
|
100% |
878
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
878
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
157300
202.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33502
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
358
477.3 IPS |
|
|
Text Classification (HP)
|
100% |
360
480.9 IPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
55% |
1498
39.2 IPS |