Xiaomi 2412DPC0AG
Geekbench AI Score
991
Single Precision Score
1259
Half Precision Score
1012
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 02:41 PM |
| Views | 1 |
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% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (Q)
|
97% |
560
104.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6176
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
10307
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9971
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
99% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
83% |
748
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
2470
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (Q)
|
96% |
2560
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2845
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4236
32.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3280
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8276
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15654
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16454
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1774
65.7 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.3 IPS |
|
|
Text Classification (HP)
|
29% |
9
151.0 IPS |
|
|
Text Classification (Q)
|
29% |
8
145.4 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.12 IPS |
