Xiaomi 2412DPC0AI
Geekbench AI Score
1001
Single Precision Score
1205
Half Precision Score
976
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 02:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2412DPC0AI |
| Model ID | Xiaomi 2412DPC0AI |
| 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% |
590
109.8 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
97% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1453
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10278
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9732
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (HP)
|
99% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
83% |
645
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (Q)
|
96% |
2717
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3222
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4493
34.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3204
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8317
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16796
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15594
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1692
62.7 IPS |
|
|
Text Classification (SP)
|
35% |
15
139.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
139.8 IPS |
|
|
Text Classification (Q)
|
29% |
8
134.4 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.85 IPS |
