Xiaomi 2412DPC0AG
Geekbench AI Score
851
Single Precision Score
5444
Half Precision Score
7050
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
817
152.0 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.2 IPS |
|
|
Image Classification (Q)
|
99% |
6669
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6628
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
12827
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
51719
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
86% |
4126
331.9 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
9348
111.1 IPS |
|
|
Face Detection (Q)
|
97% |
9385
111.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
13594
104.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
23038
218.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2218
2.85 IPS |
|
|
Style Transfer (HP)
|
100% |
39637
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
133450
172.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19033
705.3 IPS |
|
|
Text Classification (SP)
|
100% |
84
111.6 IPS |
|
|
Text Classification (HP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
235
4.04 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
60% |
284
6.38 IPS |
