Xiaomi 2412DPC0AG
Geekbench AI Score
1308
Single Precision Score
1320
Half Precision Score
1814
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Stuartpocox7pro |
| Upload Date | August 10 2025 08:02 AM |
| Views | 8 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (HP)
|
100% |
984
183.1 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1628
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2169
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
5142
6.10 IPS |
|
|
Object Detection (SP)
|
98% |
998
79.4 IPS |
|
|
Object Detection (HP)
|
98% |
1059
84.2 IPS |
|
|
Object Detection (Q)
|
83% |
1303
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3258
38.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2222
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3035
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5446
7.07 IPS |
|
|
Style Transfer (HP)
|
89% |
5392
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
9517
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1921
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
356
474.9 IPS |
|
|
Text Classification (HP)
|
99% |
354
472.9 IPS |
|
|
Text Classification (Q)
|
88% |
457
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
292
10.4 IPS |
