Xiaomi 2412DPC0AG
Geekbench AI Score
884
Single Precision Score
1223
Half Precision Score
950
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 09:34 AM |
| Views | 3 |
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% |
604
112.3 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
97% |
526
98.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5942
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
10692
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9781
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
99% |
637
50.5 IPS |
|
|
Object Detection (Q)
|
83% |
620
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (Q)
|
96% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2285
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4229
32.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2908
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7416
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
16199
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15046
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1453
53.9 IPS |
|
|
Text Classification (SP)
|
35% |
13
121.2 IPS |
|
|
Text Classification (HP)
|
29% |
8
138.4 IPS |
|
|
Text Classification (Q)
|
29% |
8
130.9 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.42 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
43% |
87
5.04 IPS |
