Xiaomi 25080RABDC
Geekbench AI Score
931
Single Precision Score
935
Half Precision Score
2115
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 02 2025 02:21 PM |
| Views | 7 |
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% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
100% |
1509
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1771
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
4040
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
1457
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
3499
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1561
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3618
33.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3686
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3699
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9069
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2117
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
538
717.9 IPS |
|
|
Text Classification (HP)
|
100% |
531
708.8 IPS |
|
|
Text Classification (Q)
|
88% |
973
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
