Xiaomi 2410DPN6CC
Geekbench ML Score
1454
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 04:28 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% |
915
171.2 IPS |
|
|
Image Classification (F16)
|
100% |
961
179.8 IPS |
|
|
Image Classification (I8)
|
97% |
1260
235.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1170
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1229
20.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1277
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1902
2.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
1801
2.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
7214
8.74 IPS |
|
|
Object Detection (F32)
|
100% |
935
69.8 IPS |
|
|
Object Detection (F16)
|
100% |
911
68.0 IPS |
|
|
Object Detection (I8)
|
61% |
1368
102.1 IPS |
|
|
Face Detection (F32)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (F16)
|
100% |
2017
24.0 IPS |
|
|
Face Detection (I8)
|
86% |
2498
29.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1806
14.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1710
13.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2840
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2860
3.76 IPS |
|
|
Style Transfer (F16)
|
100% |
2915
3.83 IPS |
|
|
Style Transfer (I8)
|
98% |
7097
9.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
970
34.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
863
30.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2321
82.9 IPS |
|
|
Text Classification (F32)
|
100% |
604
868.0 IPS |
|
|
Text Classification (F16)
|
100% |
502
721.4 IPS |
|
|
Text Classification (I8)
|
92% |
320
460.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (I8)
|
64% |
626
11.5 IPS |
