Xiaomi 2412DPC0AG
Geekbench AI Score
1469
Single Precision Score
1498
Half Precision Score
2193
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 15 2025 05:21 PM |
| Views | 1 |
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% |
1056
196.4 IPS |
|
|
Image Classification (HP)
|
100% |
1003
186.6 IPS |
|
|
Image Classification (Q)
|
100% |
1609
299.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2030
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2426
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2378
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
5711
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
1118
89.0 IPS |
|
|
Object Detection (HP)
|
98% |
1119
89.1 IPS |
|
|
Object Detection (Q)
|
83% |
1524
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (Q)
|
95% |
3911
46.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2441
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2341
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4050
37.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6159
8.00 IPS |
|
|
Style Transfer (HP)
|
89% |
6023
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
11633
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2106
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.9 IPS |
|
|
Text Classification (HP)
|
99% |
511
681.5 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.8 IPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
