Xiaomi 2412DPC0AG
Geekbench AI Score
1645
Single Precision Score
1615
Half Precision Score
2390
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:05 PM |
| Views | 1 |
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% |
1153
214.3 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (Q)
|
100% |
1806
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2097
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2533
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2497
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
5772
6.85 IPS |
|
|
Object Detection (SP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (HP)
|
98% |
1171
93.2 IPS |
|
|
Object Detection (Q)
|
83% |
1753
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2638
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4104
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2696
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2476
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4335
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6591
8.56 IPS |
|
|
Style Transfer (HP)
|
89% |
6312
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
12347
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2822
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.6 IPS |
|
|
Text Classification (HP)
|
99% |
517
690.4 IPS |
|
|
Text Classification (Q)
|
88% |
669
901.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
383
13.6 IPS |
