User | dynamiteCobra88 |
Upload Date | December 12 2024 04:33 AM |
Views | 2 |
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 Pro, 11th Edition |
Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th 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% |
173
32.1 IPS |
|
Image Classification (HP)
|
100% |
8005
1.49 KIPS |
|
Image Classification (Q)
|
99% |
12831
2.39 KIPS |
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
Image Segmentation (HP)
|
100% |
6909
112.0 IPS |
|
Image Segmentation (Q)
|
98% |
7878
128.1 IPS |
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
Pose Estimation (HP)
|
100% |
65260
76.1 IPS |
|
Pose Estimation (Q)
|
95% |
221177
259.3 IPS |
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
Object Detection (HP)
|
100% |
7971
632.2 IPS |
|
Object Detection (Q)
|
92% |
10052
802.4 IPS |
|
Face Detection (SP)
|
100% |
455
5.40 IPS |
|
Face Detection (HP)
|
100% |
19042
226.3 IPS |
|
Face Detection (Q)
|
97% |
37040
441.6 IPS |
|
Depth Estimation (SP)
|
100% |
439
3.39 IPS |
|
Depth Estimation (HP)
|
99% |
37017
285.2 IPS |
|
Depth Estimation (Q)
|
77% |
89529
718.3 IPS |
|
Style Transfer (SP)
|
100% |
10095
13.0 IPS |
|
Style Transfer (HP)
|
98% |
53597
69.1 IPS |
|
Style Transfer (Q)
|
98% |
191077
246.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
25785
952.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
30586
1.13 KIPS |
|
Text Classification (SP)
|
100% |
359
478.7 IPS |
|
Text Classification (HP)
|
100% |
1759
2.35 KIPS |
|
Text Classification (Q)
|
95% |
2747
3.68 KIPS |
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
Machine Translation (HP)
|
100% |
2246
38.7 IPS |
|
Machine Translation (Q)
|
67% |
1653
32.2 IPS |