Xiaomi 2410DPN6CC
Geekbench ML Score
1613
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:00 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% |
949
177.6 IPS |
|
|
Image Classification (F16)
|
100% |
962
179.9 IPS |
|
|
Image Classification (I8)
|
97% |
1338
250.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1273
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1199
20.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1911
2.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
1884
2.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
7297
8.84 IPS |
|
|
Object Detection (F32)
|
100% |
889
66.4 IPS |
|
|
Object Detection (F16)
|
100% |
914
68.2 IPS |
|
|
Object Detection (I8)
|
61% |
1598
119.3 IPS |
|
|
Face Detection (F32)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (I8)
|
86% |
3040
36.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1946
15.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1928
15.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3485
27.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3142
4.13 IPS |
|
|
Style Transfer (F16)
|
100% |
3047
4.01 IPS |
|
|
Style Transfer (I8)
|
98% |
7933
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1102
39.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1035
37.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2625
93.8 IPS |
|
|
Text Classification (F32)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
720
1.03 KIPS |
|
|
Text Classification (I8)
|
92% |
495
711.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1524
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1540
28.3 IPS |
|
|
Machine Translation (I8)
|
64% |
798
14.7 IPS |
