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
3505
Single Precision Score
1359
Half Precision Score
6282
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Mr_Boom |
| Upload Date | September 18 2025 12:20 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500HX |
| 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% |
2863
532.4 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.4 IPS |
|
|
Image Classification (Q)
|
99% |
4895
912.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7131
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5722
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
18622
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
86% |
5198
417.7 IPS |
|
|
Face Detection (SP)
|
100% |
7064
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7785
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13151
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13697
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9386
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19622
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4652
172.3 IPS |
|
|
Text Classification (SP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
683
912.0 IPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2446
49.1 IPS |
