Xiaomi 2412DPC0AG
Geekbench AI Score
867
Single Precision Score
5463
Half Precision Score
7088
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Nick79 |
| Upload Date | December 01 2025 12:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
847
157.6 IPS |
|
|
Image Classification (HP)
|
100% |
3004
558.6 IPS |
|
|
Image Classification (Q)
|
99% |
6547
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
12763
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
51944
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (Q)
|
86% |
4147
333.6 IPS |
|
|
Face Detection (SP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
9064
107.7 IPS |
|
|
Face Detection (Q)
|
97% |
9432
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
672
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
13713
105.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
23406
222.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2260
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
39919
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
134785
173.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18960
702.6 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.6 IPS |
|
|
Text Classification (HP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
60% |
291
6.55 IPS |
