Xiaomi 2412DPC0AG
Geekbench AI Score
1488
Single Precision Score
1475
Half Precision Score
2294
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 02:23 AM |
| Views | 3 |
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% |
1020
189.6 IPS |
|
|
Image Classification (HP)
|
100% |
942
175.3 IPS |
|
|
Image Classification (Q)
|
100% |
1794
333.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2048
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2534
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
5839
6.92 IPS |
|
|
Object Detection (SP)
|
98% |
902
71.8 IPS |
|
|
Object Detection (HP)
|
98% |
878
69.8 IPS |
|
|
Object Detection (Q)
|
83% |
1292
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3921
46.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2409
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2451
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4158
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6289
8.16 IPS |
|
|
Style Transfer (HP)
|
89% |
6190
8.04 IPS |
|
|
Style Transfer (Q)
|
98% |
11935
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2700
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.5 IPS |
|
|
Text Classification (HP)
|
99% |
516
688.4 IPS |
|
|
Text Classification (Q)
|
88% |
708
955.3 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
