Xiaomi 2412DPC0AG
Geekbench AI Score
1592
Single Precision Score
1621
Half Precision Score
2397
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:19 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% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
1168
217.2 IPS |
|
|
Image Classification (Q)
|
100% |
1934
359.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2180
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
5406
6.41 IPS |
|
|
Object Detection (SP)
|
98% |
1214
96.6 IPS |
|
|
Object Detection (HP)
|
98% |
1205
95.9 IPS |
|
|
Object Detection (Q)
|
83% |
1743
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
4034
48.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2578
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2441
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4249
38.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6267
8.14 IPS |
|
|
Style Transfer (HP)
|
89% |
6543
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
12144
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2812
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.4 IPS |
|
|
Text Classification (HP)
|
99% |
527
703.5 IPS |
|
|
Text Classification (Q)
|
88% |
683
921.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
