| User | knedle |
| Upload Date | October 31 2025 06:43 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1472
273.7 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
100% |
2275
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2764
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3124
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
6829
8.10 IPS |
|
|
Object Detection (SP)
|
98% |
1462
116.3 IPS |
|
|
Object Detection (HP)
|
98% |
1508
120.0 IPS |
|
|
Object Detection (Q)
|
83% |
1029
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (Q)
|
95% |
2459
29.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3048
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3149
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5339
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7778
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7714
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14047
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2089
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.2 IPS |
|
|
Text Classification (HP)
|
99% |
619
826.2 IPS |
|
|
Text Classification (Q)
|
88% |
735
990.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |