Xiaomi 2412DPC0AG
Geekbench AI Score
1540
Single Precision Score
1555
Half Precision Score
2279
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 18 2025 08:48 AM |
| Views | 4 |
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% |
890
165.4 IPS |
|
|
Image Classification (HP)
|
100% |
1050
195.2 IPS |
|
|
Image Classification (Q)
|
100% |
1699
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2048
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2767
3.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
5815
6.90 IPS |
|
|
Object Detection (SP)
|
98% |
1127
89.7 IPS |
|
|
Object Detection (HP)
|
98% |
1103
87.8 IPS |
|
|
Object Detection (Q)
|
83% |
1515
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (Q)
|
95% |
3864
46.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2385
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2363
18.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4078
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6784
8.81 IPS |
|
|
Style Transfer (HP)
|
89% |
6588
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
11857
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2660
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (HP)
|
99% |
485
646.8 IPS |
|
|
Text Classification (Q)
|
88% |
646
871.9 IPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
