Xiaomi 2412DPC0AG
Geekbench AI Score
1492
Single Precision Score
1539
Half Precision Score
2139
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 09:19 AM |
| 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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.6 IPS |
|
|
Image Classification (Q)
|
100% |
1859
345.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
5707
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
913
72.7 IPS |
|
|
Object Detection (HP)
|
98% |
1000
79.5 IPS |
|
|
Object Detection (Q)
|
83% |
1361
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
3943
47.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2494
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2440
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3636
33.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6149
7.98 IPS |
|
|
Style Transfer (HP)
|
89% |
6103
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
10855
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2600
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.2 IPS |
|
|
Text Classification (HP)
|
99% |
471
628.4 IPS |
|
|
Text Classification (Q)
|
88% |
677
913.4 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
