Xiaomi 2412DPC0AG
Geekbench AI Score
897
Single Precision Score
6606
Half Precision Score
8598
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Chasydave |
| Upload Date | September 18 2025 07:27 PM |
| Views | 6 |
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% |
868
161.4 IPS |
|
|
Image Classification (HP)
|
100% |
3591
667.9 IPS |
|
|
Image Classification (Q)
|
99% |
7277
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1661
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7047
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
17026
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
69527
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
4091
324.5 IPS |
|
|
Object Detection (Q)
|
86% |
4874
392.1 IPS |
|
|
Face Detection (SP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
10762
127.9 IPS |
|
|
Face Detection (Q)
|
97% |
11990
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
17578
135.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
29253
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2304
2.96 IPS |
|
|
Style Transfer (HP)
|
100% |
52752
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
177672
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9038
333.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
23346
865.1 IPS |
|
|
Text Classification (SP)
|
100% |
86
115.1 IPS |
|
|
Text Classification (HP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
60% |
307
6.91 IPS |
