Xiaomi 2410DPN6CC
Geekbench ML Score
1274
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 04:37 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
686
128.3 IPS |
|
|
Image Classification (F16)
|
100% |
1589
297.3 IPS |
|
|
Image Classification (I8)
|
100% |
1396
261.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
971
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1370
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1430
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2431
2.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
2437
2.95 IPS |
|
|
Object Detection (F32)
|
100% |
472
35.3 IPS |
|
|
Object Detection (F16)
|
100% |
564
42.1 IPS |
|
|
Object Detection (I8)
|
59% |
645
48.2 IPS |
|
|
Face Detection (F32)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
5792
68.9 IPS |
|
|
Face Detection (I8)
|
86% |
4940
58.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1454
11.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4125
32.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4108
31.9 IPS |
|
|
Style Transfer (F32)
|
100% |
5018
6.60 IPS |
|
|
Style Transfer (F16)
|
100% |
7498
9.86 IPS |
|
|
Style Transfer (I8)
|
98% |
10268
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
427
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
709
25.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1021
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
172
246.5 IPS |
|
|
Text Classification (F16)
|
100% |
296
425.0 IPS |
|
|
Text Classification (I8)
|
92% |
310
445.1 IPS |
|
|
Machine Translation (F32)
|
100% |
404
7.44 IPS |
|
|
Machine Translation (F16)
|
100% |
433
7.96 IPS |
|
|
Machine Translation (I8)
|
64% |
551
10.1 IPS |
