Xiaomi 2412DPC0AG
Geekbench AI Score
874
Single Precision Score
6250
Half Precision Score
7989
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Phizzle |
| Upload Date | July 31 2025 05:51 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% |
821
152.6 IPS |
|
|
Image Classification (HP)
|
100% |
3875
720.7 IPS |
|
|
Image Classification (Q)
|
99% |
7563
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
3397
55.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1486
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6667
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14956
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
60052
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
3823
303.2 IPS |
|
|
Object Detection (Q)
|
86% |
4614
371.1 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
10122
120.3 IPS |
|
|
Face Detection (Q)
|
97% |
10853
129.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
699
5.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
15807
121.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
26382
250.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2279
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
46045
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
155237
200.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8104
299.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
21639
801.8 IPS |
|
|
Text Classification (SP)
|
100% |
85
113.6 IPS |
|
|
Text Classification (HP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1153
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (Q)
|
60% |
307
6.91 IPS |
