HP OMEN by HP Gaming Laptop 16-wf0xxx
Geekbench AI Score
4584
Single Precision Score
4483
Half Precision Score
10503
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | maxxx |
| Upload Date | January 20 2025 11:40 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13500HX |
| 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% |
2811
522.8 IPS |
|
|
Image Classification (HP)
|
100% |
2830
526.3 IPS |
|
|
Image Classification (Q)
|
100% |
6302
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3164
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6373
103.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5513
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5584
6.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
20315
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (Q)
|
88% |
6779
543.5 IPS |
|
|
Face Detection (SP)
|
100% |
7298
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
7275
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
16086
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6896
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7231
55.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17720
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16462
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15687
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52164
67.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3546
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11305
418.7 IPS |
|
|
Text Classification (SP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (Q)
|
92% |
4413
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3984
68.6 IPS |
