Xiaomi 2412DPC0AG
Geekbench AI Score
1358
Single Precision Score
1277
Half Precision Score
1745
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 10:13 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% |
994
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
994
184.9 IPS |
|
|
Image Classification (Q)
|
100% |
1281
238.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1738
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2214
2.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
5355
6.35 IPS |
|
|
Object Detection (SP)
|
98% |
809
64.4 IPS |
|
|
Object Detection (HP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (Q)
|
83% |
1513
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
1647
19.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2265
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3578
32.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3953
5.13 IPS |
|
|
Style Transfer (HP)
|
89% |
5634
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
9254
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2194
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.6 IPS |
|
|
Text Classification (HP)
|
99% |
422
563.0 IPS |
|
|
Text Classification (Q)
|
88% |
419
565.2 IPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
