HP OMEN Gaming Laptop 17-db0xxx
Geekbench AI Score
3146
Single Precision Score
1475
Half Precision Score
7004
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 08:53 AM |
| Views | 9 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2489
462.9 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
7286
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8960
145.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4894
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4229
4.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
20961
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
6616
531.7 IPS |
|
|
Face Detection (SP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
8850
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6486
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2279
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6749
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12649
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10117
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22775
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5636
208.7 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.1 IPS |
|
|
Text Classification (Q)
|
97% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2401
48.2 IPS |
