| User | moonhead95 |
| Upload Date | December 10 2025 01:06 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47G |
| Model ID | Xiaomi 25053PC47G |
| Motherboard | sun |
| 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 | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (Q)
|
100% |
1902
353.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3862
62.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3461
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7833
9.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
13941
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13681
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
869
69.0 IPS |
|
|
Object Detection (HP)
|
99% |
1434
113.8 IPS |
|
|
Object Detection (Q)
|
85% |
1413
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7168
85.2 IPS |
|
|
Face Detection (Q)
|
97% |
6349
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4475
34.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6747
52.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5353
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10161
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21435
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20986
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3697
137.0 IPS |
|
|
Text Classification (SP)
|
35% |
60
587.0 IPS |
|
|
Text Classification (HP)
|
35% |
63
568.6 IPS |
|
|
Text Classification (Q)
|
33% |
53
594.1 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
48% |
251
9.65 IPS |