Xiaomi 2412DPC0AG
Geekbench AI Score
1646
Single Precision Score
1595
Half Precision Score
2415
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Phizzle |
| Upload Date | July 31 2025 05:39 PM |
| 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% |
967
179.8 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (Q)
|
100% |
1653
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2160
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2655
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2759
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
6705
7.95 IPS |
|
|
Object Detection (SP)
|
98% |
1233
98.2 IPS |
|
|
Object Detection (HP)
|
98% |
1172
93.2 IPS |
|
|
Object Detection (Q)
|
83% |
1481
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (Q)
|
95% |
4340
51.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2666
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2862
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4732
43.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6434
8.35 IPS |
|
|
Style Transfer (HP)
|
89% |
6689
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
12976
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3003
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
552
737.2 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.0 IPS |
|
|
Text Classification (Q)
|
88% |
717
967.1 IPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
