Xiaomi 2410DPN6CC
Geekbench ML Score
1687
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 06:47 AM |
| 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% |
983
183.9 IPS |
|
|
Image Classification (F16)
|
100% |
978
183.0 IPS |
|
|
Image Classification (I8)
|
97% |
1639
306.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1338
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1286
21.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1278
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1907
2.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
1806
2.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
7878
9.54 IPS |
|
|
Object Detection (F32)
|
100% |
828
61.8 IPS |
|
|
Object Detection (F16)
|
100% |
974
72.7 IPS |
|
|
Object Detection (I8)
|
61% |
1833
136.8 IPS |
|
|
Face Detection (F32)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (I8)
|
86% |
3070
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2062
16.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2041
15.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3411
26.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3261
4.29 IPS |
|
|
Style Transfer (F16)
|
100% |
3195
4.20 IPS |
|
|
Style Transfer (I8)
|
98% |
7149
9.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1068
38.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1053
37.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3044
108.7 IPS |
|
|
Text Classification (F32)
|
100% |
818
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
853
1.23 KIPS |
|
|
Text Classification (I8)
|
92% |
602
865.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1649
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
64% |
743
13.7 IPS |
