Xiaomi 2410DPN6CC
Geekbench AI Score
628
Single Precision Score
635
Half Precision Score
1502
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 03 2025 01:16 AM |
| Views | 11 |
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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.3 IPS |
|
|
Image Classification (Q)
|
99% |
1038
193.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
989
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
98% |
2611
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
87% |
1123
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
2260
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
797
6.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1974
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1401
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1394
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3821
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
606
809.4 IPS |
|
|
Text Classification (HP)
|
100% |
601
801.8 IPS |
|
|
Text Classification (Q)
|
91% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
57% |
720
17.6 IPS |
