xiaomi 2412DPC0AG
Geekbench AI Score
683
Single Precision Score
3559
Half Precision Score
4653
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 12:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 6.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (HP)
|
100% |
1136
211.3 IPS |
|
|
Image Classification (Q)
|
99% |
2351
438.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1433
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7442
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
11293
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
52038
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
1447
114.7 IPS |
|
|
Object Detection (Q)
|
86% |
1888
151.9 IPS |
|
|
Face Detection (SP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
6992
83.1 IPS |
|
|
Face Detection (Q)
|
97% |
7659
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
723
5.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
10570
81.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
12931
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2314
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
39621
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
100015
129.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16224
601.2 IPS |
|
|
Text Classification (SP)
|
100% |
39
51.7 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.8 IPS |
|
|
Text Classification (Q)
|
93% |
347
466.4 IPS |
|
|
Machine Translation (SP)
|
100% |
141
2.43 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
60% |
258
5.81 IPS |
