Xiaomi 2412DPC0AG
Geekbench AI Score
969
Single Precision Score
1229
Half Precision Score
998
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 05:29 AM |
| 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% |
866
161.0 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
97% |
571
106.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1638
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
10975
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10375
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (HP)
|
99% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
83% |
636
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
2266
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (Q)
|
96% |
2909
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2262
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4149
32.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
3142
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8529
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15790
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16474
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1483
55.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
129.6 IPS |
|
|
Text Classification (HP)
|
29% |
9
148.2 IPS |
|
|
Text Classification (Q)
|
29% |
8
145.6 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
43% |
89
5.16 IPS |
