Xiaomi 2412DPC0AG
Geekbench AI Score
848
Single Precision Score
5651
Half Precision Score
7390
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 02:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
2662
495.1 IPS |
|
|
Image Classification (Q)
|
99% |
6032
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1268
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6707
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
12774
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
51702
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
3354
266.1 IPS |
|
|
Object Detection (Q)
|
86% |
3999
321.7 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
9139
108.6 IPS |
|
|
Face Detection (Q)
|
97% |
9447
112.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
732
5.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
15601
120.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
26512
251.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2252
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
46107
59.3 IPS |
|
|
Style Transfer (Q)
|
98% |
152256
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8038
296.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
22151
820.8 IPS |
|
|
Text Classification (SP)
|
100% |
84
112.4 IPS |
|
|
Text Classification (HP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
60% |
321
7.23 IPS |
