Xiaomi 2412DPC0AG
Geekbench AI Score
981
Single Precision Score
1243
Half Precision Score
1006
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 08:00 PM |
| Views | 3 |
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% |
599
111.4 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
97% |
536
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1531
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6564
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
10606
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10585
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
99% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
83% |
658
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
96% |
2793
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2930
22.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4392
33.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3229
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8684
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17543
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18034
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1667
61.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
124.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
140.0 IPS |
|
|
Text Classification (Q)
|
29% |
8
136.7 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
43% |
86
5.03 IPS |
