Upload Date | December 28 2024 09:30 AM |
Views | 2 |
AI Information | |
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Framework | ONNX |
Backend | CPU |
Device | Intel Core i7-9750H |
System Information | |
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Operating System | Microsoft Windows 10 Home (64-bit) |
Model | HP HP Pavilion Gaming Laptop 17-cd0xxx |
Motherboard | HP 85FE |
Power Plan | Vysok vkon |
CPU Information | |
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Name | Intel Core i7-9750H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
Base Frequency | 2.59 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1884
350.5 IPS |
|
Image Classification (HP)
|
100% |
346
64.4 IPS |
|
Image Classification (Q)
|
96% |
2498
466.4 IPS |
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
Image Segmentation (HP)
|
100% |
599
9.72 IPS |
|
Image Segmentation (Q)
|
97% |
1411
23.0 IPS |
|
Pose Estimation (SP)
|
100% |
3496
4.08 IPS |
|
Pose Estimation (HP)
|
100% |
2492
2.91 IPS |
|
Pose Estimation (Q)
|
86% |
6349
7.51 IPS |
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
Object Detection (Q)
|
58% |
1666
182.0 IPS |
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
Face Detection (HP)
|
100% |
913
10.8 IPS |
|
Face Detection (Q)
|
96% |
4888
58.3 IPS |
|
Depth Estimation (SP)
|
100% |
4100
31.6 IPS |
|
Depth Estimation (HP)
|
99% |
1290
9.94 IPS |
|
Depth Estimation (Q)
|
78% |
6714
53.6 IPS |
|
Style Transfer (SP)
|
100% |
9053
11.6 IPS |
|
Style Transfer (HP)
|
100% |
5516
7.09 IPS |
|
Style Transfer (Q)
|
87% |
11196
14.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
1350
49.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
1344
49.6 IPS |
|
Image Super-Resolution (Q)
|
97% |
2175
80.6 IPS |
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
Text Classification (HP)
|
100% |
570
760.7 IPS |
|
Text Classification (Q)
|
97% |
386
517.4 IPS |
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
Machine Translation (Q)
|
68% |
1705
32.9 IPS |