| User | knedle |
| Upload Date | October 31 2025 07:06 PM |
| Views | 6 |
| 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 | 7.32 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
97% |
23105
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
17485
284.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
135235
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
86% |
10723
862.2 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (Q)
|
97% |
58692
699.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.32 IPS |
|
|
Depth Estimation (Q)
|
63% |
52950
495.8 IPS |
|
|
Style Transfer (SP)
|
100% |
910
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
913
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
181357
233.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40985
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
388
518.0 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.0 IPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1534
40.2 IPS |