Xiaomi 2410DPN6CC
Geekbench ML Score
1796
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 01:03 PM |
| Views | 8 |
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% |
1017
190.3 IPS |
|
|
Image Classification (F16)
|
100% |
1081
202.2 IPS |
|
|
Image Classification (I8)
|
97% |
1441
269.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1402
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1364
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1465
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1987
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1965
2.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
7910
9.58 IPS |
|
|
Object Detection (F32)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (F16)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (I8)
|
61% |
1895
141.4 IPS |
|
|
Face Detection (F32)
|
100% |
2258
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (I8)
|
86% |
3900
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2119
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2079
16.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3965
30.7 IPS |
|
|
Style Transfer (F32)
|
100% |
3220
4.24 IPS |
|
|
Style Transfer (F16)
|
100% |
3229
4.25 IPS |
|
|
Style Transfer (I8)
|
98% |
8720
11.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1092
39.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1101
39.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3342
119.4 IPS |
|
|
Text Classification (F32)
|
100% |
864
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
869
1.25 KIPS |
|
|
Text Classification (I8)
|
92% |
582
837.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1820
33.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1799
33.1 IPS |
|
|
Machine Translation (I8)
|
64% |
845
15.5 IPS |
