Xiaomi 25080RABDC
Geekbench AI Score
576
Single Precision Score
1332
Half Precision Score
2651
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 02 2025 02:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (Q)
|
99% |
4300
802.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2040
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6657
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
26895
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (Q)
|
86% |
2149
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
8996
107.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
417
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
6915
53.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
14254
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1820
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
331
0.43 IPS |
|
|
Style Transfer (Q)
|
30% |
400
6.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2935
427.5 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.2 IPS |
|
|
Text Classification (HP)
|
100% |
118
158.0 IPS |
|
|
Text Classification (Q)
|
93% |
1205
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (Q)
|
53% |
187
5.37 IPS |
