Xiaomi 2412DPC0AG
Geekbench AI Score
1337
Single Precision Score
1271
Half Precision Score
1957
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 02:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1022
190.1 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
100% |
1694
315.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1884
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2406
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
5132
6.09 IPS |
|
|
Object Detection (SP)
|
98% |
1008
80.2 IPS |
|
|
Object Detection (HP)
|
98% |
924
73.5 IPS |
|
|
Object Detection (Q)
|
83% |
1248
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (Q)
|
95% |
3394
40.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2390
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2237
17.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3552
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5634
7.31 IPS |
|
|
Style Transfer (HP)
|
89% |
4864
6.31 IPS |
|
|
Style Transfer (Q)
|
98% |
11894
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2119
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
314
418.5 IPS |
|
|
Text Classification (HP)
|
99% |
369
492.9 IPS |
|
|
Text Classification (Q)
|
88% |
444
598.2 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
