Xiaomi 2412DPC0AG
Geekbench AI Score
1535
Single Precision Score
1511
Half Precision Score
2301
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 06:04 PM |
| Views | 4 |
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% |
1109
206.2 IPS |
|
|
Image Classification (HP)
|
100% |
1106
205.7 IPS |
|
|
Image Classification (Q)
|
100% |
1750
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2147
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2589
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
6285
7.45 IPS |
|
|
Object Detection (SP)
|
98% |
1118
89.0 IPS |
|
|
Object Detection (HP)
|
98% |
1124
89.4 IPS |
|
|
Object Detection (Q)
|
83% |
1677
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (Q)
|
95% |
3857
46.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2493
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2415
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4227
38.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6393
8.30 IPS |
|
|
Style Transfer (HP)
|
89% |
6336
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
12450
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2647
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.5 IPS |
|
|
Text Classification (HP)
|
99% |
456
608.2 IPS |
|
|
Text Classification (Q)
|
88% |
570
768.3 IPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
