Xiaomi 2412DPC0AG
Geekbench AI Score
1652
Single Precision Score
1624
Half Precision Score
2438
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:35 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (Q)
|
100% |
1870
347.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2149
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2712
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
6286
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1226
97.6 IPS |
|
|
Object Detection (HP)
|
98% |
1097
87.3 IPS |
|
|
Object Detection (Q)
|
83% |
1826
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
4237
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2585
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2458
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4233
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6591
8.56 IPS |
|
|
Style Transfer (HP)
|
89% |
6649
8.63 IPS |
|
|
Style Transfer (Q)
|
98% |
11494
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2742
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.3 IPS |
|
|
Text Classification (HP)
|
99% |
549
732.8 IPS |
|
|
Text Classification (Q)
|
88% |
726
978.6 IPS |
|
|
Machine Translation (SP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
392
13.9 IPS |
