Xiaomi 2412DPC0AG
Geekbench AI Score
1575
Single Precision Score
1570
Half Precision Score
2295
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:52 AM |
| Views | 1 |
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% |
943
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.3 IPS |
|
|
Image Classification (Q)
|
100% |
1699
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2067
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2613
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2477
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
5558
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1140
90.7 IPS |
|
|
Object Detection (HP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (Q)
|
83% |
1707
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (Q)
|
95% |
3813
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2492
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2571
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3914
35.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6290
8.17 IPS |
|
|
Style Transfer (HP)
|
89% |
6018
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11351
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1101
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2720
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.7 IPS |
|
|
Text Classification (HP)
|
99% |
496
661.8 IPS |
|
|
Text Classification (Q)
|
88% |
679
916.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
