HP OMEN Gaming Laptop 17-db0xxx
Geekbench AI Score
2981
Single Precision Score
1469
Half Precision Score
7014
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sezan |
| Upload Date | September 24 2025 05:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 17-db0xxx |
| Motherboard | HP 8C74 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2268
421.8 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
6833
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8427
137.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4736
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4045
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
20534
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
6501
522.5 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
9091
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6247
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2188
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7376
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11358
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10501
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20616
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5865
217.2 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2806
56.4 IPS |
