Xiaomi 2412DPC0AG
Geekbench AI Score
1429
Single Precision Score
1445
Half Precision Score
2071
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 02:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1015
188.8 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (Q)
|
100% |
1509
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1949
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
5894
6.99 IPS |
|
|
Object Detection (SP)
|
98% |
1137
90.5 IPS |
|
|
Object Detection (HP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (Q)
|
83% |
1525
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
3409
40.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2245
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2200
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3651
33.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5396
7.00 IPS |
|
|
Style Transfer (HP)
|
89% |
5499
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
10640
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2361
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.6 IPS |
|
|
Text Classification (HP)
|
99% |
398
531.5 IPS |
|
|
Text Classification (Q)
|
88% |
533
719.5 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
330
11.7 IPS |
