HP OMEN Gaming Laptop 17-db0xxx
Geekbench AI Score
2291
Single Precision Score
1129
Half Precision Score
4565
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 12:50 PM |
| Views | 3 |
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 8C73 |
| Power Plan | Balansert |
| 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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.2 IPS |
|
|
Image Classification (Q)
|
99% |
3713
692.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
2314
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3729
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
16220
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
86% |
4025
323.5 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
1285
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
5709
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1806
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5666
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9495
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8291
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20357
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2692
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
903
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.6 IPS |
|
|
Text Classification (Q)
|
97% |
1391
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2847
57.2 IPS |
