Xiaomi 2412DPC0AG
Geekbench AI Score
998
Single Precision Score
1231
Half Precision Score
1014
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 11:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
621
115.5 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.0 IPS |
|
|
Image Classification (Q)
|
97% |
528
98.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6189
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
10427
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9846
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
99% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
83% |
673
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (Q)
|
96% |
2773
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2833
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4350
33.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
3199
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8172
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17523
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17382
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1735
64.3 IPS |
|
|
Text Classification (SP)
|
35% |
15
136.9 IPS |
|
|
Text Classification (HP)
|
29% |
8
139.7 IPS |
|
|
Text Classification (Q)
|
29% |
8
141.7 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
43% |
90
5.24 IPS |
