Xiaomi 2412DPC0AG
Geekbench AI Score
1538
Single Precision Score
1586
Half Precision Score
2370
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 03:16 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (HP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (Q)
|
100% |
1921
357.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2081
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6950
8.24 IPS |
|
|
Object Detection (SP)
|
98% |
678
54.0 IPS |
|
|
Object Detection (HP)
|
98% |
1147
91.3 IPS |
|
|
Object Detection (Q)
|
83% |
1640
132.5 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (Q)
|
95% |
3959
47.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2701
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2441
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3610
33.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6346
8.24 IPS |
|
|
Style Transfer (HP)
|
89% |
6343
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11680
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2823
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (HP)
|
99% |
523
698.5 IPS |
|
|
Text Classification (Q)
|
88% |
680
917.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
