Xiaomi 2412DPC0AG
Geekbench AI Score
1002
Single Precision Score
1467
Half Precision Score
1073
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 01:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
874
162.5 IPS |
|
|
Image Classification (HP)
|
100% |
1171
217.8 IPS |
|
|
Image Classification (Q)
|
97% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1585
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6081
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
9974
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9627
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (HP)
|
99% |
708
56.1 IPS |
|
|
Object Detection (Q)
|
83% |
949
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (Q)
|
96% |
2958
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2704
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5184
40.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
3248
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8234
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17493
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16107
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2888
106.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.1 IPS |
|
|
Text Classification (HP)
|
29% |
9
160.5 IPS |
|
|
Text Classification (Q)
|
29% |
9
151.9 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
43% |
93
5.42 IPS |
