Xiaomi 2412DPC0AG
Geekbench AI Score
1399
Single Precision Score
1269
Half Precision Score
1900
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Freddy78 |
| Upload Date | November 22 2025 01:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (Q)
|
100% |
1427
265.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1646
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2395
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2032
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
4996
5.93 IPS |
|
|
Object Detection (SP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (HP)
|
98% |
990
78.8 IPS |
|
|
Object Detection (Q)
|
83% |
1572
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3340
39.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2615
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2096
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3594
32.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5568
7.23 IPS |
|
|
Style Transfer (HP)
|
89% |
4732
6.14 IPS |
|
|
Style Transfer (Q)
|
98% |
10259
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1783
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
381
509.2 IPS |
|
|
Text Classification (HP)
|
99% |
331
441.2 IPS |
|
|
Text Classification (Q)
|
88% |
493
665.4 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
