Xiaomi 2412DPC0AG
Geekbench AI Score
1603
Single Precision Score
1630
Half Precision Score
2381
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 29 2025 04:12 PM |
| Views | 3 |
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% |
1054
195.9 IPS |
|
|
Image Classification (HP)
|
100% |
1171
217.9 IPS |
|
|
Image Classification (Q)
|
100% |
1910
355.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2115
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
5814
6.90 IPS |
|
|
Object Detection (SP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (HP)
|
98% |
1198
95.3 IPS |
|
|
Object Detection (Q)
|
83% |
1627
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (Q)
|
95% |
4012
47.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2593
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2401
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4176
38.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6395
8.30 IPS |
|
|
Style Transfer (HP)
|
89% |
6800
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
11926
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2783
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
535
713.5 IPS |
|
|
Text Classification (HP)
|
99% |
533
711.3 IPS |
|
|
Text Classification (Q)
|
88% |
714
962.6 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
