Xiaomi 2412DPC0AG
Geekbench AI Score
1615
Single Precision Score
1615
Half Precision Score
2379
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 01:10 PM |
| Views | 3 |
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% |
1173
218.1 IPS |
|
|
Image Classification (HP)
|
100% |
1175
218.5 IPS |
|
|
Image Classification (Q)
|
100% |
1874
348.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2080
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2472
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
5784
6.86 IPS |
|
|
Object Detection (SP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (HP)
|
98% |
1192
94.8 IPS |
|
|
Object Detection (Q)
|
83% |
1765
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
3835
45.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2748
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2557
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4255
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6167
8.01 IPS |
|
|
Style Transfer (HP)
|
89% |
6494
8.43 IPS |
|
|
Style Transfer (Q)
|
98% |
12408
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2804
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
529
705.5 IPS |
|
|
Text Classification (HP)
|
99% |
508
678.1 IPS |
|
|
Text Classification (Q)
|
88% |
674
908.5 IPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.5 IPS |
