Xiaomi 2412DPC0AG
Geekbench AI Score
979
Single Precision Score
1277
Half Precision Score
1029
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 02:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
579
107.6 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
97% |
571
106.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1486
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6385
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
9489
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9922
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (HP)
|
99% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
83% |
642
51.8 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (Q)
|
96% |
2916
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2823
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4343
33.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2786
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8467
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17533
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2378
88.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.1 IPS |
|
|
Text Classification (HP)
|
29% |
9
147.9 IPS |
|
|
Text Classification (Q)
|
29% |
8
141.1 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
43% |
91
5.26 IPS |
