HP OMEN by HP Gaming Laptop 16-wf0xxx
Geekbench AI Score
22693
Single Precision Score
35505
Half Precision Score
17717
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 01:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8601
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
13570
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
7750
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15644
253.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20244
328.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14388
234.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
118789
138.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
359731
419.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
104468
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
10596
840.5 IPS |
|
|
Object Detection (HP)
|
100% |
16758
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
9533
767.4 IPS |
|
|
Face Detection (SP)
|
100% |
30130
358.0 IPS |
|
|
Face Detection (HP)
|
100% |
42818
508.8 IPS |
|
|
Face Detection (Q)
|
97% |
27479
327.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
56920
438.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102530
792.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
43816
350.3 IPS |
|
|
Style Transfer (SP)
|
100% |
255695
328.7 IPS |
|
|
Style Transfer (HP)
|
100% |
550690
707.9 IPS |
|
|
Style Transfer (Q)
|
98% |
216391
279.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37408
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49008
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27011
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1809
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3992
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2156
40.4 IPS |
