Xiaomi 2410DPN6CC
Geekbench ML Score
1608
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:53 AM |
| Views | 1 |
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% |
1014
189.8 IPS |
|
|
Image Classification (F16)
|
100% |
991
185.4 IPS |
|
|
Image Classification (I8)
|
97% |
1114
208.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1221
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1257
21.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1365
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1895
2.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
1933
2.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
7543
9.13 IPS |
|
|
Object Detection (F32)
|
100% |
1024
76.5 IPS |
|
|
Object Detection (F16)
|
100% |
965
72.0 IPS |
|
|
Object Detection (I8)
|
61% |
1646
122.9 IPS |
|
|
Face Detection (F32)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (I8)
|
86% |
3255
38.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1967
15.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2096
16.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3096
24.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2965
3.90 IPS |
|
|
Style Transfer (F16)
|
100% |
3048
4.01 IPS |
|
|
Style Transfer (I8)
|
98% |
7093
9.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
914
32.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1017
36.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2791
99.7 IPS |
|
|
Text Classification (F32)
|
100% |
814
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
758
1.09 KIPS |
|
|
Text Classification (I8)
|
92% |
503
723.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1706
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1737
32.0 IPS |
|
|
Machine Translation (I8)
|
64% |
484
8.91 IPS |
