Xiaomi 2412DPC0AG
Geekbench AI Score
958
Single Precision Score
1213
Half Precision Score
1007
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 06:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
576
107.0 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.4 IPS |
|
|
Image Classification (Q)
|
97% |
525
97.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6161
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
10148
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9861
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
99% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
83% |
734
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (Q)
|
96% |
2833
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2837
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4124
31.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3311
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8228
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18319
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16359
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1647
61.1 IPS |
|
|
Text Classification (SP)
|
35% |
13
121.6 IPS |
|
|
Text Classification (HP)
|
29% |
8
136.2 IPS |
|
|
Text Classification (Q)
|
29% |
8
132.2 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.83 IPS |
