| User | Nick79 |
| Upload Date | December 01 2025 12:41 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2412DPC0AG |
| Model ID | Xiaomi 2412DPC0AG |
| Motherboard | rodin |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
97% |
543
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10356
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10581
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (HP)
|
99% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
83% |
699
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (Q)
|
96% |
2886
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2909
22.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4580
35.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2866
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8458
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17688
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17050
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1721
63.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
124.1 IPS |
|
|
Text Classification (HP)
|
29% |
8
140.4 IPS |
|
|
Text Classification (Q)
|
29% |
8
137.0 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.81 IPS |