Xiaomi 2412DPC0AG
Geekbench AI Score
1603
Single Precision Score
1588
Half Precision Score
2403
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:47 PM |
| Views | 1 |
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% |
1121
208.4 IPS |
|
|
Image Classification (HP)
|
100% |
1183
219.9 IPS |
|
|
Image Classification (Q)
|
100% |
1856
345.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2097
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2678
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2661
3.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
6083
7.21 IPS |
|
|
Object Detection (SP)
|
98% |
1153
91.8 IPS |
|
|
Object Detection (HP)
|
98% |
1187
94.4 IPS |
|
|
Object Detection (Q)
|
83% |
1835
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (Q)
|
95% |
4324
51.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2705
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2654
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4403
40.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7065
9.17 IPS |
|
|
Style Transfer (HP)
|
89% |
7184
9.33 IPS |
|
|
Style Transfer (Q)
|
98% |
12968
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2044
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.6 IPS |
|
|
Text Classification (HP)
|
99% |
446
595.9 IPS |
|
|
Text Classification (Q)
|
88% |
712
960.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
