Xiaomi 25062PC34G
Geekbench AI Score
86
Single Precision Score
86
Half Precision Score
130
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 02:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25062PC34G |
| Model ID | Xiaomi 25062PC34G |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
48
9.01 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.11 IPS |
|
|
Image Classification (Q)
|
99% |
83
15.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
92
1.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.91 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.92 IPS |
|
|
Object Detection (Q)
|
87% |
87
6.97 IPS |
|
|
Face Detection (SP)
|
100% |
129
1.53 IPS |
|
|
Face Detection (HP)
|
100% |
130
1.55 IPS |
|
|
Face Detection (Q)
|
97% |
198
2.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
115
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
169
1.54 IPS |
|
|
Style Transfer (SP)
|
100% |
212
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
213
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
400
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57
2.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57
2.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
105
3.88 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.4 IPS |
|
|
Text Classification (HP)
|
100% |
70
94.1 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.0 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
124
2.13 IPS |
|
|
Machine Translation (Q)
|
57% |
93
2.26 IPS |
