Xiaomi 25080RABDC
Geekbench AI Score
571
Single Precision Score
811
Half Precision Score
682
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 02 2025 02:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
97% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1041
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4373
5.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
4303
5.04 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
99% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
397
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
96% |
1555
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1498
11.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2494
19.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1948
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4266
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
7661
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
7676
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1243
46.1 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.8 IPS |
|
|
Text Classification (HP)
|
29% |
8
136.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
152.5 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (Q)
|
43% |
104
6.06 IPS |
