Xiaomi 25040RP0AE
Geekbench AI Score
143
Single Precision Score
196
Half Precision Score
188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 09:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25040RP0AE |
| Model ID | Xiaomi 25040RP0AE |
| Motherboard | taiko |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
189
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
108
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.58 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.80 IPS |
|
|
Object Detection (Q)
|
83% |
97
7.85 IPS |
|
|
Face Detection (SP)
|
100% |
225
2.68 IPS |
|
|
Face Detection (HP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (Q)
|
97% |
332
3.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
228
1.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
184
1.74 IPS |
|
|
Style Transfer (SP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
486
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
90
3.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.08 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.7 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.2 IPS |
|
|
Text Classification (Q)
|
91% |
247
331.9 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
57% |
179
4.38 IPS |
