Xiaomi 2412DPC0AG
Geekbench AI Score
1538
Single Precision Score
1494
Half Precision Score
2200
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 11:44 PM |
| Views | 5 |
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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
100% |
1647
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3011
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
5315
6.30 IPS |
|
|
Object Detection (SP)
|
98% |
1119
89.0 IPS |
|
|
Object Detection (HP)
|
98% |
1141
90.8 IPS |
|
|
Object Detection (Q)
|
83% |
1539
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3197
38.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2338
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3796
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5759
7.48 IPS |
|
|
Style Transfer (HP)
|
89% |
5787
7.51 IPS |
|
|
Style Transfer (Q)
|
98% |
10468
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2512
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.9 IPS |
|
|
Text Classification (HP)
|
99% |
461
615.6 IPS |
|
|
Text Classification (Q)
|
88% |
567
765.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
