HP OMEN Gaming Laptop 17-db0xxx
Geekbench AI Score
17580
Single Precision Score
30284
Half Precision Score
13969
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 17-db0xxx |
| Motherboard | HP 8C74 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6996
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
12185
2.27 KIPS |
|
|
Image Classification (Q)
|
99% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12879
208.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18933
306.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11756
191.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
86559
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
255430
298.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
76485
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
8487
673.2 IPS |
|
|
Object Detection (HP)
|
100% |
15973
1.27 KIPS |
|
|
Object Detection (Q)
|
84% |
7516
606.2 IPS |
|
|
Face Detection (SP)
|
100% |
20573
244.5 IPS |
|
|
Face Detection (HP)
|
100% |
33432
397.2 IPS |
|
|
Face Detection (Q)
|
97% |
19138
228.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
42899
330.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
80974
623.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
34398
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
142358
183.0 IPS |
|
|
Style Transfer (HP)
|
100% |
357128
459.1 IPS |
|
|
Style Transfer (Q)
|
98% |
126898
163.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27756
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45945
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21458
794.6 IPS |
|
|
Text Classification (SP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3615
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1848
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4008
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1947
36.5 IPS |
