Xiaomi 2410DPN6CC
Geekbench ML Score
1484
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:59 PM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
636
119.0 IPS |
|
|
Image Classification (F16)
|
100% |
1641
307.0 IPS |
|
|
Image Classification (I8)
|
100% |
1577
295.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1473
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3421
57.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3233
54.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1421
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2394
2.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
2390
2.89 IPS |
|
|
Object Detection (F32)
|
100% |
465
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
1004
74.9 IPS |
|
|
Object Detection (I8)
|
59% |
626
46.7 IPS |
|
|
Face Detection (F32)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
5367
63.8 IPS |
|
|
Face Detection (I8)
|
86% |
5082
60.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1422
11.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4049
31.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
3999
31.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5036
6.62 IPS |
|
|
Style Transfer (F16)
|
100% |
10718
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
10616
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
647
23.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2032
72.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2004
71.6 IPS |
|
|
Text Classification (F32)
|
100% |
139
199.2 IPS |
|
|
Text Classification (F16)
|
100% |
258
370.1 IPS |
|
|
Text Classification (I8)
|
92% |
396
569.5 IPS |
|
|
Machine Translation (F32)
|
100% |
479
8.82 IPS |
|
|
Machine Translation (F16)
|
100% |
329
6.06 IPS |
|
|
Machine Translation (I8)
|
64% |
364
6.69 IPS |
