Xiaomi 2412DPC0AG
Geekbench AI Score
978
Single Precision Score
1220
Half Precision Score
1032
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 05:51 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% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
97% |
615
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1657
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
10172
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10039
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
99% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
83% |
892
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
2281
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (Q)
|
96% |
2495
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2651
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4169
32.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3387
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8489
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18091
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17110
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1584
58.7 IPS |
|
|
Text Classification (SP)
|
35% |
14
129.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
142.7 IPS |
|
|
Text Classification (Q)
|
29% |
8
136.1 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
43% |
82
4.78 IPS |
