Xiaomi 2410DPN6CC
Geekbench ML Score
1173
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 04:55 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% |
631
118.1 IPS |
|
|
Image Classification (F16)
|
100% |
713
133.5 IPS |
|
|
Image Classification (I8)
|
97% |
856
160.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
911
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
868
14.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
890
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1348
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
1351
1.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
4665
5.65 IPS |
|
|
Object Detection (F32)
|
100% |
641
47.8 IPS |
|
|
Object Detection (F16)
|
100% |
657
49.0 IPS |
|
|
Object Detection (I8)
|
61% |
1199
89.5 IPS |
|
|
Face Detection (F32)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (F16)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (I8)
|
86% |
2208
26.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1481
11.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1381
10.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
2404
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2539
3.34 IPS |
|
|
Style Transfer (F16)
|
100% |
2527
3.32 IPS |
|
|
Style Transfer (I8)
|
98% |
6094
8.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
751
26.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
751
26.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2130
76.1 IPS |
|
|
Text Classification (F32)
|
100% |
552
792.9 IPS |
|
|
Text Classification (F16)
|
100% |
498
715.2 IPS |
|
|
Text Classification (I8)
|
92% |
460
661.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1194
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1151
21.2 IPS |
|
|
Machine Translation (I8)
|
64% |
456
8.40 IPS |
