Xiaomi 2412DPC0AI
Geekbench AI Score
1340
Single Precision Score
1336
Half Precision Score
1937
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.3 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (Q)
|
100% |
1832
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1750
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1796
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
3922
4.65 IPS |
|
|
Object Detection (SP)
|
98% |
613
48.8 IPS |
|
|
Object Detection (HP)
|
98% |
820
65.2 IPS |
|
|
Object Detection (Q)
|
83% |
1366
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
2735
32.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2433
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2270
17.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2982
27.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5861
7.61 IPS |
|
|
Style Transfer (HP)
|
89% |
5913
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
10590
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2595
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.4 IPS |
|
|
Text Classification (HP)
|
99% |
456
608.4 IPS |
|
|
Text Classification (Q)
|
88% |
642
866.1 IPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
