HP OMEN Gaming Laptop 17-db0xxx
Geekbench AI Score
3226
Single Precision Score
1422
Half Precision Score
6757
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 09:37 AM |
| 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 | 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% |
3500
651.0 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
99% |
8503
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10275
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5940
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3667
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
15413
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
5709
458.8 IPS |
|
|
Face Detection (SP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
8915
106.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1901
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6536
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10469
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9697
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22088
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4745
175.7 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
719
960.1 IPS |
|
|
Text Classification (Q)
|
97% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2809
56.4 IPS |
