Xiaomi 2412DPC0AG
Geekbench AI Score
1538
Single Precision Score
1473
Half Precision Score
2246
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 05:47 PM |
| Views | 5 |
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% |
1199
222.9 IPS |
|
|
Image Classification (HP)
|
100% |
1037
192.9 IPS |
|
|
Image Classification (Q)
|
100% |
1649
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1990
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2586
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
5896
6.99 IPS |
|
|
Object Detection (SP)
|
98% |
1142
90.9 IPS |
|
|
Object Detection (HP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (Q)
|
83% |
1606
129.7 IPS |
|
|
Face Detection (SP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (Q)
|
95% |
3797
45.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2419
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2325
18.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4013
36.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5843
7.58 IPS |
|
|
Style Transfer (HP)
|
89% |
6036
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
11537
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2561
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (HP)
|
99% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
88% |
635
856.1 IPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
368
13.1 IPS |
