Xiaomi 2410DPN6CC
Geekbench ML Score
1673
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 08:15 PM |
| Views | 5 |
System Information
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
982
183.7 IPS |
|
|
Image Classification (F16)
|
100% |
1056
197.7 IPS |
|
|
Image Classification (I8)
|
97% |
1223
228.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1215
20.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1460
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1950
2.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1758
2.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
6778
8.21 IPS |
|
|
Object Detection (F32)
|
100% |
813
60.7 IPS |
|
|
Object Detection (F16)
|
100% |
894
66.8 IPS |
|
|
Object Detection (I8)
|
61% |
1461
109.0 IPS |
|
|
Face Detection (F32)
|
100% |
1846
22.0 IPS |
|
|
Face Detection (F16)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (I8)
|
86% |
3676
43.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2025
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1983
15.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
4098
31.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3115
4.10 IPS |
|
|
Style Transfer (F16)
|
100% |
3094
4.07 IPS |
|
|
Style Transfer (I8)
|
98% |
8614
11.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1065
38.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1062
37.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3339
119.2 IPS |
|
|
Text Classification (F32)
|
100% |
879
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
852
1.22 KIPS |
|
|
Text Classification (I8)
|
92% |
566
813.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1807
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1877
34.5 IPS |
|
|
Machine Translation (I8)
|
64% |
808
14.9 IPS |
