Xiaomi 2412DPC0AG
Geekbench AI Score
1342
Single Precision Score
1298
Half Precision Score
1864
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Chasydave |
| Upload Date | September 18 2025 07:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
864
160.6 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
100% |
1572
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2119
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2126
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
4862
5.77 IPS |
|
|
Object Detection (SP)
|
98% |
1070
85.2 IPS |
|
|
Object Detection (HP)
|
98% |
1050
83.5 IPS |
|
|
Object Detection (Q)
|
83% |
1403
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
2988
35.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2013
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3351
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5218
6.77 IPS |
|
|
Style Transfer (HP)
|
89% |
4996
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9969
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2261
83.8 IPS |
|
|
Text Classification (SP)
|
100% |
471
629.2 IPS |
|
|
Text Classification (HP)
|
99% |
474
632.5 IPS |
|
|
Text Classification (Q)
|
88% |
641
864.5 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
