Xiaomi 2412DPC0AI
Geekbench AI Score
986
Single Precision Score
1193
Half Precision Score
984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2412DPC0AI |
| Model ID | Xiaomi 2412DPC0AI |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (Q)
|
97% |
516
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1594
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5977
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10239
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
99% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
83% |
633
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
96% |
2667
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2967
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3644
28.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2901
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8560
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17241
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18311
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1641
60.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
123.0 IPS |
|
|
Text Classification (HP)
|
29% |
8
140.7 IPS |
|
|
Text Classification (Q)
|
29% |
8
133.6 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
43% |
86
4.98 IPS |
