Xiaomi 25078PC3EG
Geekbench AI Score
224
Single Precision Score
222
Half Precision Score
312
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25078PC3EG |
| Model ID | Xiaomi 25078PC3EG |
| Motherboard | dew |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
100% |
209
38.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
121
1.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.66 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.65 IPS |
|
|
Object Detection (Q)
|
83% |
204
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
95% |
573
6.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
408
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
461
4.22 IPS |
|
|
Style Transfer (SP)
|
89% |
850
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
847
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1063
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
202
7.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
254
9.42 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.6 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.9 IPS |
|
|
Text Classification (Q)
|
88% |
186
251.5 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (Q)
|
50% |
145
5.13 IPS |
