| User | Phizzle |
| Upload Date | July 31 2025 05:43 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% |
659
122.6 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.8 IPS |
|
|
Image Classification (Q)
|
97% |
553
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1747
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
10451
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10236
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
99% |
959
76.0 IPS |
|
|
Object Detection (Q)
|
83% |
867
70.0 IPS |
|
|
Face Detection (SP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (Q)
|
96% |
2680
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2886
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5331
41.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3371
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7930
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16388
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2647
98.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.4 IPS |
|
|
Text Classification (HP)
|
29% |
9
151.6 IPS |
|
|
Text Classification (Q)
|
29% |
8
146.3 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
43% |
86
4.98 IPS |