Xiaomi 2410DPN6CC (Xiaomi 15 Pro) Performance Mode Xiaomi 2410DPN6CC
Geekbench AI Score
559
Single Precision Score
558
Half Precision Score
1230
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dingxy1996 |
| Upload Date | December 22 2024 12:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
408
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
99% |
1110
207.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
2531
2.96 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (Q)
|
87% |
848
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (Q)
|
97% |
1679
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
649
5.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1508
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1158
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1154
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3032
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1195
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.6 IPS |
|
|
Text Classification (HP)
|
100% |
431
575.4 IPS |
|
|
Text Classification (Q)
|
91% |
669
898.7 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
537
13.1 IPS |
