Xiaomi 2412DPC0AG
Geekbench AI Score
1072
Single Precision Score
1093
Half Precision Score
1634
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 02:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2412DPC0AG |
| Model ID | Xiaomi 2412DPC0AG |
| Motherboard | rodin |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
813
151.3 IPS |
|
|
Image Classification (HP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (Q)
|
100% |
1225
227.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1772
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1787
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
4603
5.46 IPS |
|
|
Object Detection (SP)
|
98% |
889
70.8 IPS |
|
|
Object Detection (HP)
|
98% |
888
70.7 IPS |
|
|
Object Detection (Q)
|
83% |
1137
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
95% |
2605
31.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1858
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1902
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3217
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4565
5.93 IPS |
|
|
Style Transfer (HP)
|
89% |
4132
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
8254
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1880
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (HP)
|
99% |
286
382.0 IPS |
|
|
Text Classification (Q)
|
88% |
513
692.3 IPS |
|
|
Machine Translation (SP)
|
100% |
580
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
50% |
251
8.89 IPS |
