Xiaomi 2410DPN6CC
Geekbench AI Score
2251
Single Precision Score
2344
Half Precision Score
3950
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 08:26 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.7 IPS |
|
|
Image Classification (Q)
|
100% |
3392
630.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4130
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4254
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4174
4.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
10753
12.8 IPS |
|
|
Object Detection (SP)
|
98% |
1276
101.6 IPS |
|
|
Object Detection (HP)
|
98% |
1489
118.5 IPS |
|
|
Object Detection (Q)
|
83% |
3243
262.0 IPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
7445
88.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3557
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3717
28.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8712
79.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9276
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9612
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19731
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4900
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.0 IPS |
|
|
Text Classification (HP)
|
99% |
726
968.8 IPS |
|
|
Text Classification (Q)
|
88% |
702
946.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
