HP OMEN Laptop 15-en1xxx
Geekbench AI Score
2524
Single Precision Score
1215
Half Precision Score
4419
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 01:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Laptop 15-en1xxx |
| Motherboard | HP 88D1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
96% |
3814
712.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
3784
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3444
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3336
3.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
9758
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2040
161.8 IPS |
|
|
Object Detection (HP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
58% |
2761
301.7 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6619
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6407
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1852
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9042
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10755
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8497
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
12700
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1591
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3685
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2022
39.1 IPS |
