| User | khdhmnyu |
| Upload Date | May 17 2025 07:51 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon (TM) 8cx Gen 3 @ 3.0 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HUAWEI GK-W7X |
| Motherboard | HUAWEI GK-W7X-PCB |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 8cx Gen 3 @ 3.0 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model D4B Revision 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
1219
226.7 IPS |
|
|
Image Classification (Q)
|
99% |
2542
474.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1780
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1875
2.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
6338
7.43 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
954
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
1977
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
4279
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1058
8.15 IPS |
|
|
Depth Estimation (HP)
|
98% |
1808
14.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
4631
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3803
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
5162
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
11317
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1738
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.2 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.6 IPS |
|
|
Text Classification (Q)
|
97% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1384
27.8 IPS |