| User | mengjou |
| Upload Date | August 03 2025 03:02 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
9298
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
15399
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
7674
124.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14679
238.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
69367
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
235551
276.1 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.98 IPS |
|
|
Object Detection (HP)
|
100% |
9914
786.4 IPS |
|
|
Object Detection (Q)
|
92% |
16715
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
204
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
21391
254.2 IPS |
|
|
Face Detection (Q)
|
97% |
50011
596.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
235
1.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
40319
310.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
87668
699.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1694
2.18 IPS |
|
|
Style Transfer (HP)
|
98% |
56237
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
240741
310.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25637
946.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55792
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
84
112.7 IPS |
|
|
Text Classification (HP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (Q)
|
95% |
3031
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (HP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (Q)
|
67% |
4692
91.3 IPS |