Xiaomi 2412DPC0AG
Geekbench AI Score
947
Single Precision Score
1202
Half Precision Score
924
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 07:11 AM |
| Views | 8 |
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% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (Q)
|
97% |
481
89.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6182
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
9786
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9252
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
99% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
83% |
682
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (Q)
|
96% |
2362
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2788
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4038
31.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2693
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8322
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17353
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14821
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1774
65.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
148.5 IPS |
|
|
Text Classification (HP)
|
29% |
8
145.2 IPS |
|
|
Text Classification (Q)
|
29% |
8
137.5 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (Q)
|
43% |
84
4.86 IPS |
