Xiaomi 2410DPN6CC
Geekbench AI Score
2142
Single Precision Score
2353
Half Precision Score
3145
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
846
157.3 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (Q)
|
100% |
1495
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2641
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
11249
13.3 IPS |
|
|
Object Detection (SP)
|
98% |
1568
124.8 IPS |
|
|
Object Detection (HP)
|
98% |
1563
124.4 IPS |
|
|
Object Detection (Q)
|
83% |
2955
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
7055
84.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3466
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4268
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8544
78.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10486
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9671
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17630
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3550
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.1 IPS |
|
|
Text Classification (HP)
|
99% |
728
971.6 IPS |
|
|
Text Classification (Q)
|
88% |
443
597.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.3 IPS |
