HP OMEN 暗影精灵9 by HP Gaming Laptop 16-wf0xxx（2023） HP OMEN by HP Gaming Laptop 16-wf0xxx
Geekbench AI Score
16136
Single Precision Score
27213
Half Precision Score
12695
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Mr_Boom |
| Upload Date | September 18 2025 12:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf0xxx |
| Motherboard | HP 8BAB |
| 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% |
5857
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
10686
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11557
187.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16050
260.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10539
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86160
100.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
237212
276.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76127
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
7777
616.9 IPS |
|
|
Object Detection (HP)
|
100% |
14007
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
6938
559.6 IPS |
|
|
Face Detection (SP)
|
100% |
19456
231.2 IPS |
|
|
Face Detection (HP)
|
100% |
31275
371.6 IPS |
|
|
Face Detection (Q)
|
97% |
17212
205.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38676
298.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74805
576.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
31794
254.4 IPS |
|
|
Style Transfer (SP)
|
100% |
133254
171.3 IPS |
|
|
Style Transfer (HP)
|
100% |
327359
420.8 IPS |
|
|
Style Transfer (Q)
|
98% |
122349
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24723
912.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39822
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19130
708.4 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3370
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1587
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1737
32.6 IPS |
