Xiaomi 15 Pro（2024） Xiaomi 2410DPN6CC
Geekbench AI Score
2504
Single Precision Score
3866
Half Precision Score
3270
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Mr_Boom |
| Upload Date | September 18 2025 12:47 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2410DPN6CC |
| Model ID | Xiaomi 2410DPN6CC |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (Q)
|
100% |
2167
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5229
84.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4475
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12652
14.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
22562
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22029
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
99% |
1854
147.1 IPS |
|
|
Object Detection (Q)
|
85% |
1821
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8614
102.3 IPS |
|
|
Face Detection (Q)
|
97% |
7602
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6435
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8834
68.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6817
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15685
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34870
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34047
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5182
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5089
188.6 IPS |
|
|
Text Classification (SP)
|
35% |
70
682.8 IPS |
|
|
Text Classification (HP)
|
35% |
70
638.6 IPS |
|
|
Text Classification (Q)
|
33% |
61
687.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
48% |
658
25.3 IPS |
