Xiaomi 2412DPC0AG
Geekbench AI Score
959
Single Precision Score
1251
Half Precision Score
1002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Chasydave |
| Upload Date | September 18 2025 07:22 PM |
| Views | 6 |
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% |
592
110.1 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
97% |
553
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1932
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6065
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
10180
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10178
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (HP)
|
99% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
83% |
640
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (Q)
|
96% |
2797
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2708
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4140
32.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3147
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8272
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17160
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15962
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1582
58.6 IPS |
|
|
Text Classification (SP)
|
35% |
13
122.3 IPS |
|
|
Text Classification (HP)
|
29% |
10
177.8 IPS |
|
|
Text Classification (Q)
|
29% |
8
134.1 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
43% |
83
4.84 IPS |
