Xiaomi 2410DPN6CC
Geekbench ML Score
1335
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 04:34 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% |
778
145.6 IPS |
|
|
Image Classification (F16)
|
100% |
877
164.1 IPS |
|
|
Image Classification (I8)
|
97% |
1208
226.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1171
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1104
18.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
977
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1655
2.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
1723
2.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
6536
7.91 IPS |
|
|
Object Detection (F32)
|
100% |
867
64.7 IPS |
|
|
Object Detection (F16)
|
100% |
772
57.6 IPS |
|
|
Object Detection (I8)
|
61% |
1104
82.4 IPS |
|
|
Face Detection (F32)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (I8)
|
86% |
2101
25.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1588
12.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1618
12.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2638
20.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2689
3.54 IPS |
|
|
Style Transfer (F16)
|
100% |
2686
3.53 IPS |
|
|
Style Transfer (I8)
|
98% |
6350
8.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
768
27.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
797
28.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2224
79.4 IPS |
|
|
Text Classification (F32)
|
100% |
570
819.2 IPS |
|
|
Text Classification (F16)
|
100% |
579
831.9 IPS |
|
|
Text Classification (I8)
|
92% |
374
537.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1361
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1445
26.6 IPS |
|
|
Machine Translation (I8)
|
64% |
607
11.2 IPS |
