Xiaomi 2410DPN6CC
Geekbench ML Score
1095
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:56 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% |
636
119.0 IPS |
|
|
Image Classification (F16)
|
100% |
677
126.7 IPS |
|
|
Image Classification (I8)
|
97% |
797
149.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
844
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
712
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1330
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
1516
1.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
4779
5.79 IPS |
|
|
Object Detection (F32)
|
100% |
616
46.0 IPS |
|
|
Object Detection (F16)
|
100% |
616
46.0 IPS |
|
|
Object Detection (I8)
|
61% |
1142
85.3 IPS |
|
|
Face Detection (F32)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (I8)
|
86% |
1720
20.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1338
10.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1358
10.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1974
15.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2363
3.11 IPS |
|
|
Style Transfer (F16)
|
100% |
2358
3.10 IPS |
|
|
Style Transfer (I8)
|
98% |
4892
6.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
709
25.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
737
26.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1510
53.9 IPS |
|
|
Text Classification (F32)
|
100% |
561
806.2 IPS |
|
|
Text Classification (F16)
|
100% |
564
810.1 IPS |
|
|
Text Classification (I8)
|
92% |
340
488.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1194
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1217
22.4 IPS |
|
|
Machine Translation (I8)
|
64% |
443
8.16 IPS |
