Upload Date | December 26 2024 11:32 PM |
Views | 2 |
AI Information | |
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Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
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% |
2298
427.4 IPS |
|
Image Classification (HP)
|
100% |
1353
251.6 IPS |
|
Image Classification (Q)
|
100% |
3065
570.0 IPS |
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
Image Segmentation (HP)
|
100% |
2259
36.6 IPS |
|
Image Segmentation (Q)
|
99% |
3748
60.9 IPS |
|
Pose Estimation (SP)
|
100% |
4696
5.48 IPS |
|
Pose Estimation (HP)
|
100% |
4724
5.51 IPS |
|
Pose Estimation (Q)
|
94% |
8520
9.99 IPS |
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
Object Detection (HP)
|
100% |
2210
175.3 IPS |
|
Object Detection (Q)
|
87% |
3360
269.5 IPS |
|
Face Detection (SP)
|
100% |
4141
49.2 IPS |
|
Face Detection (HP)
|
100% |
4150
49.3 IPS |
|
Face Detection (Q)
|
97% |
9057
108.0 IPS |
|
Depth Estimation (SP)
|
100% |
6009
46.3 IPS |
|
Depth Estimation (HP)
|
99% |
5926
45.7 IPS |
|
Depth Estimation (Q)
|
81% |
8973
70.8 IPS |
|
Style Transfer (SP)
|
100% |
13524
17.4 IPS |
|
Style Transfer (HP)
|
100% |
13434
17.3 IPS |
|
Style Transfer (Q)
|
98% |
24470
31.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2766
102.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
2794
103.2 IPS |
|
Image Super-Resolution (Q)
|
98% |
5114
189.4 IPS |
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
Text Classification (HP)
|
100% |
2273
3.03 KIPS |
|
Text Classification (Q)
|
91% |
1118
1.50 KIPS |
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
Machine Translation (HP)
|
100% |
3162
54.5 IPS |
|
Machine Translation (Q)
|
100% |
3107
53.5 IPS |