Xiaomi 2412DPC0AG
Geekbench AI Score
1677
Single Precision Score
1686
Half Precision Score
2515
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 03:06 AM |
| Views | 5 |
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% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (Q)
|
100% |
2103
391.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2420
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2744
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5869
6.96 IPS |
|
|
Object Detection (SP)
|
98% |
1135
90.3 IPS |
|
|
Object Detection (HP)
|
98% |
1163
92.5 IPS |
|
|
Object Detection (Q)
|
83% |
1848
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (Q)
|
95% |
4239
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2534
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2490
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4485
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6835
8.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6826
8.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12255
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2840
105.3 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.1 IPS |
|
|
Text Classification (HP)
|
99% |
544
726.4 IPS |
|
|
Text Classification (Q)
|
88% |
706
952.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
