Xiaomi Poco X3 Pro
Geekbench ML Score
502
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 22 2023 12:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Poco X3 Pro |
| Model ID | Xiaomi M2102J20SG |
| Motherboard | vayu |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
346
64.7 IPS |
|
|
Image Classification (F16)
|
99% |
489
91.4 IPS |
|
|
Image Classification (I8)
|
97% |
497
93.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
403
6.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
470
7.85 IPS |
|
|
Image Segmentation (I8)
|
98% |
564
9.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
1300
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
3098
3.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
10227
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
343
25.6 IPS |
|
|
Object Detection (I8)
|
59% |
497
37.1 IPS |
|
|
Face Detection (F32)
|
100% |
852
10.1 IPS |
|
|
Face Detection (F16)
|
97% |
1028
12.2 IPS |
|
|
Face Detection (I8)
|
88% |
2458
29.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
464
3.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
514
3.99 IPS |
|
|
Depth Estimation (I8)
|
82% |
6553
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
729
0.96 IPS |
|
|
Style Transfer (F16)
|
100% |
754
0.99 IPS |
|
|
Style Transfer (I8)
|
98% |
3318
4.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
714
25.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1275
45.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
4026
143.8 IPS |
|
|
Text Classification (F32)
|
64% |
3
3.73 IPS |
|
|
Text Classification (F16)
|
64% |
3
3.80 IPS |
|
|
Text Classification (I8)
|
92% |
50
71.3 IPS |
|
|
Machine Translation (F32)
|
100% |
81
1.50 IPS |
|
|
Machine Translation (F16)
|
100% |
359
6.60 IPS |
|
|
Machine Translation (I8)
|
58% |
229
4.21 IPS |
