Xiaomi 2410DPN6CC
Geekbench ML Score
1745
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 05:08 PM |
| 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
189.7 IPS |
|
|
Image Classification (F16)
|
100% |
1107
207.2 IPS |
|
|
Image Classification (I8)
|
97% |
1400
262.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1388
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1242
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1430
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1934
2.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
1924
2.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
7415
8.98 IPS |
|
|
Object Detection (F32)
|
100% |
976
72.9 IPS |
|
|
Object Detection (F16)
|
100% |
980
73.2 IPS |
|
|
Object Detection (I8)
|
61% |
1667
124.4 IPS |
|
|
Face Detection (F32)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
2242
26.7 IPS |
|
|
Face Detection (I8)
|
86% |
3426
40.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2032
15.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2025
15.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3673
28.5 IPS |
|
|
Style Transfer (F32)
|
100% |
3220
4.24 IPS |
|
|
Style Transfer (F16)
|
100% |
3203
4.21 IPS |
|
|
Style Transfer (I8)
|
98% |
8445
11.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1110
39.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1111
39.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3251
116.1 IPS |
|
|
Text Classification (F32)
|
100% |
845
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
832
1.20 KIPS |
|
|
Text Classification (I8)
|
92% |
622
894.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1812
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1861
34.2 IPS |
|
|
Machine Translation (I8)
|
64% |
794
14.6 IPS |
