Xiaomi 2412DPC0AG
Geekbench AI Score
1685
Single Precision Score
1665
Half Precision Score
2507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 04:07 PM |
| Views | 2 |
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% |
1184
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
1189
221.2 IPS |
|
|
Image Classification (Q)
|
100% |
1962
365.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2187
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
6196
7.35 IPS |
|
|
Object Detection (SP)
|
98% |
1192
94.9 IPS |
|
|
Object Detection (HP)
|
98% |
1165
92.7 IPS |
|
|
Object Detection (Q)
|
83% |
1801
145.5 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (Q)
|
95% |
4204
50.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2739
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2587
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4411
40.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6456
8.38 IPS |
|
|
Style Transfer (HP)
|
89% |
6232
8.09 IPS |
|
|
Style Transfer (Q)
|
98% |
12502
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2853
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.1 IPS |
|
|
Text Classification (HP)
|
99% |
535
713.8 IPS |
|
|
Text Classification (Q)
|
88% |
733
989.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.1 IPS |
