Xiaomi 25040RP0AE
Geekbench AI Score
296
Single Precision Score
475
Half Precision Score
417
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 28 2026 03:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
97% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
1144
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1964
2.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
1917
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
99% |
255
20.3 IPS |
|
|
Object Detection (Q)
|
83% |
286
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (HP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
1127
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
805
6.20 IPS |
|
|
Depth Estimation (HP)
|
98% |
1324
10.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1024
9.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3841
4.94 IPS |
|
|
Style Transfer (Q)
|
98% |
3763
4.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
751
27.8 IPS |
|
|
Text Classification (SP)
|
35% |
8
75.0 IPS |
|
|
Text Classification (HP)
|
29% |
5
89.0 IPS |
|
|
Text Classification (Q)
|
33% |
8
86.6 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.83 IPS |
