Xiaomi 2412DPC0AG
Geekbench AI Score
1413
Single Precision Score
1396
Half Precision Score
2096
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 09:02 AM |
| 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 | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
100% |
1444
268.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1741
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2249
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
5493
6.52 IPS |
|
|
Object Detection (SP)
|
98% |
1040
82.8 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1550
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
3458
41.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2302
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2168
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3735
34.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5679
7.37 IPS |
|
|
Style Transfer (HP)
|
89% |
5748
7.46 IPS |
|
|
Style Transfer (Q)
|
98% |
11317
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2600
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.2 IPS |
|
|
Text Classification (HP)
|
99% |
447
596.5 IPS |
|
|
Text Classification (Q)
|
88% |
610
823.0 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
330
11.7 IPS |
