| Upload Date | November 25 2025 01:19 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf0xxx |
| Motherboard | HP 8BAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
5924
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8139
132.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
22534
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
5677
456.2 IPS |
|
|
Face Detection (SP)
|
100% |
8450
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8502
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8491
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1848
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13969
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15909
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9634
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22240
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2818
56.6 IPS |