HP OMEN by HP Gaming Laptop 16-wf0xxx
Geekbench AI Score
14734
Single Precision Score
24734
Half Precision Score
11628
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | maxxx |
| Upload Date | January 20 2025 10:04 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf0xxx |
| Motherboard | HP 8BAB |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5468
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
10687
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
4876
909.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9767
158.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12561
203.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8829
143.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
80278
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
209326
244.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
70448
82.5 IPS |
|
|
Object Detection (SP)
|
100% |
7409
587.7 IPS |
|
|
Object Detection (HP)
|
100% |
12938
1.03 KIPS |
|
|
Object Detection (Q)
|
84% |
6550
528.3 IPS |
|
|
Face Detection (SP)
|
100% |
17249
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
26701
317.3 IPS |
|
|
Face Detection (Q)
|
97% |
15561
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32424
249.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
67017
517.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
27096
217.2 IPS |
|
|
Style Transfer (SP)
|
100% |
126666
162.8 IPS |
|
|
Style Transfer (HP)
|
100% |
307666
395.5 IPS |
|
|
Style Transfer (Q)
|
98% |
111244
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24051
888.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38193
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18452
683.3 IPS |
|
|
Text Classification (SP)
|
100% |
2906
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3592
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1710
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1538
28.8 IPS |
