Xiaomi 25080RABDC
Geekbench AI Score
880
Single Precision Score
878
Half Precision Score
1971
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 30 2025 10:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25080RABDC |
| Model ID | Xiaomi 25080RABDC |
| Motherboard | lapis |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
1534
285.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2006
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4045
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1471
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
1056
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
3574
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1503
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3603
33.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3633
4.72 IPS |
|
|
Style Transfer (HP)
|
89% |
3041
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6479
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1772
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.7 IPS |
|
|
Text Classification (HP)
|
100% |
490
654.6 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
