| Upload Date | January 15 2026 01:07 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24048RN6CI |
| Model ID | Xiaomi 24048RN6CI |
| Motherboard | klein |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
100% |
277
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
399
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
868
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.40 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (Q)
|
83% |
213
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
95% |
596
7.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
346
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
345
2.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
648
5.93 IPS |
|
|
Style Transfer (SP)
|
89% |
998
1.30 IPS |
|
|
Style Transfer (HP)
|
89% |
981
1.27 IPS |
|
|
Style Transfer (Q)
|
98% |
1896
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
163
6.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
83
110.7 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.9 IPS |
|
|
Text Classification (Q)
|
88% |
125
168.4 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.42 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.43 IPS |
|
|
Machine Translation (Q)
|
50% |
74
2.62 IPS |