| User | bcgrover |
| Upload Date | March 27 2025 05:41 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 17-ck2xxx |
| Motherboard | HP 8BAD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3795
705.8 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
99% |
5902
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3086
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9643
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4016
4.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
27005
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3601
285.7 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
5580
448.5 IPS |
|
|
Face Detection (SP)
|
100% |
9438
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
9183
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9943
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1695
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13981
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18863
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9355
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25504
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3060
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
684
912.7 IPS |
|
|
Text Classification (Q)
|
97% |
518
693.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2857
57.4 IPS |