Upload Date | January 06 2025 11:32 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
System Information | |
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Operating System | Microsoft Windows 11 Enterprise (64-bit) |
Model | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
Motherboard | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
Power Plan | Balanceret |
CPU Information | |
---|---|
Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
Topology | 1 Processor, 12 Cores |
Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
Base Frequency | 3.42 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
649
120.6 IPS |
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
Image Classification (Q)
|
99% |
5973
1.11 KIPS |
|
Image Segmentation (SP)
|
100% |
592
9.59 IPS |
|
Image Segmentation (HP)
|
100% |
3070
49.8 IPS |
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
Pose Estimation (HP)
|
100% |
7798
9.10 IPS |
|
Pose Estimation (Q)
|
94% |
21795
25.6 IPS |
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
Object Detection (HP)
|
99% |
2068
164.5 IPS |
|
Object Detection (Q)
|
86% |
6022
484.0 IPS |
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
Face Detection (HP)
|
100% |
6456
76.7 IPS |
|
Face Detection (Q)
|
97% |
9532
113.7 IPS |
|
Depth Estimation (SP)
|
100% |
2240
17.3 IPS |
|
Depth Estimation (HP)
|
98% |
3534
27.3 IPS |
|
Depth Estimation (Q)
|
79% |
10976
87.2 IPS |
|
Style Transfer (SP)
|
100% |
13330
17.1 IPS |
|
Style Transfer (HP)
|
100% |
8917
11.5 IPS |
|
Style Transfer (Q)
|
98% |
29744
38.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
1101
40.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
3214
119.0 IPS |
|
Text Classification (SP)
|
100% |
1242
1.66 KIPS |
|
Text Classification (HP)
|
100% |
647
863.5 IPS |
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
Machine Translation (SP)
|
100% |
1914
33.0 IPS |
|
Machine Translation (HP)
|
99% |
1900
32.8 IPS |
|
Machine Translation (Q)
|
65% |
2561
51.5 IPS |