Xiaomi 2412DPC0AG
Geekbench AI Score
1662
Single Precision Score
1631
Half Precision Score
2400
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 07:49 PM |
| Views | 2 |
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% |
1044
194.2 IPS |
|
|
Image Classification (HP)
|
100% |
1173
218.1 IPS |
|
|
Image Classification (Q)
|
100% |
1820
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2140
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2896
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
5803
6.88 IPS |
|
|
Object Detection (SP)
|
98% |
1155
91.9 IPS |
|
|
Object Detection (HP)
|
98% |
1118
88.9 IPS |
|
|
Object Detection (Q)
|
83% |
1635
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4147
49.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2641
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2492
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4195
38.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6698
8.69 IPS |
|
|
Style Transfer (HP)
|
89% |
6519
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
12023
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2806
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
547
729.7 IPS |
|
|
Text Classification (HP)
|
99% |
484
646.6 IPS |
|
|
Text Classification (Q)
|
88% |
712
960.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
