Xiaomi 2412DPC0AI
Geekbench AI Score
1527
Single Precision Score
1539
Half Precision Score
2255
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2412DPC0AI |
| Model ID | Xiaomi 2412DPC0AI |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
180.9 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (Q)
|
100% |
1764
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1911
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
6689
7.93 IPS |
|
|
Object Detection (SP)
|
98% |
1212
96.5 IPS |
|
|
Object Detection (HP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (Q)
|
83% |
1462
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (Q)
|
95% |
3929
46.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2433
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2407
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3921
35.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6295
8.17 IPS |
|
|
Style Transfer (HP)
|
89% |
5971
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
11858
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2599
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.7 IPS |
|
|
Text Classification (HP)
|
99% |
483
644.3 IPS |
|
|
Text Classification (Q)
|
88% |
632
852.4 IPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
