Xiaomi 2410DPN6CC
Geekbench ML Score
745
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 06:50 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
409
76.6 IPS |
|
|
Image Classification (F16)
|
100% |
393
73.5 IPS |
|
|
Image Classification (I8)
|
97% |
1089
203.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
499
8.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
487
8.13 IPS |
|
|
Image Segmentation (I8)
|
98% |
1008
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
663
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
659
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
2016
2.44 IPS |
|
|
Object Detection (F32)
|
100% |
292
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
293
21.9 IPS |
|
|
Object Detection (I8)
|
61% |
803
60.0 IPS |
|
|
Face Detection (F32)
|
100% |
748
8.89 IPS |
|
|
Face Detection (F16)
|
100% |
749
8.90 IPS |
|
|
Face Detection (I8)
|
86% |
1692
20.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
655
5.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
725
5.62 IPS |
|
|
Depth Estimation (I8)
|
95% |
2390
18.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1160
1.53 IPS |
|
|
Style Transfer (F16)
|
100% |
1159
1.52 IPS |
|
|
Style Transfer (I8)
|
98% |
3057
4.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
464
16.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
349
12.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1246
44.5 IPS |
|
|
Text Classification (F32)
|
100% |
402
578.3 IPS |
|
|
Text Classification (F16)
|
100% |
403
578.6 IPS |
|
|
Text Classification (I8)
|
92% |
627
901.1 IPS |
|
|
Machine Translation (F32)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1000
18.4 IPS |
|
|
Machine Translation (I8)
|
64% |
747
13.7 IPS |
