Xiaomi 2410DPN6CC
Geekbench ML Score
1262
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 06:50 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
622
116.4 IPS |
|
|
Image Classification (F16)
|
100% |
656
122.7 IPS |
|
|
Image Classification (I8)
|
100% |
783
146.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
942
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1303
21.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1193
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1463
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2406
2.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
2427
2.94 IPS |
|
|
Object Detection (F32)
|
100% |
434
32.4 IPS |
|
|
Object Detection (F16)
|
100% |
275
20.5 IPS |
|
|
Object Detection (I8)
|
59% |
1217
90.8 IPS |
|
|
Face Detection (F32)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
3385
40.2 IPS |
|
|
Face Detection (I8)
|
86% |
4329
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1438
11.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4054
31.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4038
31.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4133
5.44 IPS |
|
|
Style Transfer (F16)
|
100% |
7589
9.98 IPS |
|
|
Style Transfer (I8)
|
98% |
7387
9.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
468
16.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
697
24.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
685
24.5 IPS |
|
|
Text Classification (F32)
|
100% |
397
570.8 IPS |
|
|
Text Classification (F16)
|
100% |
402
577.1 IPS |
|
|
Text Classification (I8)
|
92% |
621
892.3 IPS |
|
|
Machine Translation (F32)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (I8)
|
64% |
744
13.7 IPS |
