User | mengjou |
Upload Date | August 12 2025 02:47 PM |
Views | 3 |
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% |
67
12.5 IPS |
|
Image Classification (HP)
|
100% |
8850
1.65 KIPS |
|
Image Classification (Q)
|
99% |
15520
2.89 KIPS |
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
Image Segmentation (HP)
|
100% |
7675
124.4 IPS |
|
Image Segmentation (Q)
|
98% |
15338
249.4 IPS |
|
Pose Estimation (SP)
|
100% |
702
0.82 IPS |
|
Pose Estimation (HP)
|
100% |
69434
81.0 IPS |
|
Pose Estimation (Q)
|
95% |
228146
267.4 IPS |
|
Object Detection (SP)
|
100% |
78
6.21 IPS |
|
Object Detection (HP)
|
100% |
9158
726.4 IPS |
|
Object Detection (Q)
|
92% |
16054
1.28 KIPS |
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
Face Detection (HP)
|
100% |
21098
250.7 IPS |
|
Face Detection (Q)
|
97% |
46889
559.1 IPS |
|
Depth Estimation (SP)
|
100% |
250
1.93 IPS |
|
Depth Estimation (HP)
|
99% |
39245
302.4 IPS |
|
Depth Estimation (Q)
|
78% |
88635
707.4 IPS |
|
Style Transfer (SP)
|
100% |
1704
2.19 IPS |
|
Style Transfer (HP)
|
98% |
55965
72.2 IPS |
|
Style Transfer (Q)
|
98% |
238537
307.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
163
6.02 IPS |
|
Image Super-Resolution (HP)
|
100% |
25148
928.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
50912
1.88 KIPS |
|
Text Classification (SP)
|
100% |
97
129.1 IPS |
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
Text Classification (Q)
|
95% |
2796
3.75 KIPS |
|
Machine Translation (SP)
|
100% |
192
3.30 IPS |
|
Machine Translation (HP)
|
100% |
3213
55.3 IPS |
|
Machine Translation (Q)
|
67% |
4536
88.3 IPS |