Xiaomi 2412DPC0AG
Geekbench AI Score
1548
Single Precision Score
1549
Half Precision Score
2220
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 07:08 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% |
1127
209.7 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (Q)
|
100% |
1749
325.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1807
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2325
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
5414
6.42 IPS |
|
|
Object Detection (SP)
|
98% |
1182
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1165
92.7 IPS |
|
|
Object Detection (Q)
|
83% |
1575
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
3595
42.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2403
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2452
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3868
35.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5801
7.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5877
7.63 IPS |
|
|
Style Transfer (Q)
|
98% |
11174
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2552
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
462
617.1 IPS |
|
|
Text Classification (HP)
|
99% |
460
613.6 IPS |
|
|
Text Classification (Q)
|
88% |
683
921.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.2 IPS |
