Xiaomi 2412DPC0AG
Geekbench AI Score
1915
Single Precision Score
1926
Half Precision Score
2942
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 11:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1580
293.7 IPS |
|
|
Image Classification (Q)
|
100% |
2920
543.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3419
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3766
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3681
4.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
7924
9.40 IPS |
|
|
Object Detection (SP)
|
98% |
1236
98.4 IPS |
|
|
Object Detection (HP)
|
98% |
1273
101.3 IPS |
|
|
Object Detection (Q)
|
83% |
1826
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
4425
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2880
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2669
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4826
44.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7474
9.70 IPS |
|
|
Style Transfer (HP)
|
89% |
7728
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13995
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3209
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.8 IPS |
|
|
Text Classification (HP)
|
99% |
598
797.5 IPS |
|
|
Text Classification (Q)
|
88% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
