Xiaomi 2410DPN6CC
Geekbench AI Score
258
Single Precision Score
23803
Half Precision Score
53282
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cellphonehater |
| Upload Date | March 31 2025 05:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
16466
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
41972
7.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
12923
209.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
38595
627.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
110115
128.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
432060
505.7 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.92 IPS |
|
|
Object Detection (HP)
|
100% |
16235
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
19402
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
31155
370.2 IPS |
|
|
Face Detection (Q)
|
97% |
112699
1.34 KIPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
74562
574.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
128671
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
90530
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
452564
583.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51331
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
118912
4.41 KIPS |
|
|
Text Classification (SP)
|
100% |
226
301.7 IPS |
|
|
Text Classification (HP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
7511
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (HP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (Q)
|
56% |
2317
59.7 IPS |
