HP OMEN Laptop 15-en1xxx
Geekbench AI Score
2983
Single Precision Score
2983
Half Precision Score
5169
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 02:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN Laptop 15-en1xxx |
| Motherboard | HP 88D2 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.8 IPS |
|
|
Image Classification (Q)
|
100% |
3726
692.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3237
3.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
8947
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (Q)
|
87% |
2817
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3847
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
9234
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4881
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4459
34.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10120
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11693
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11030
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26342
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2390
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2593
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5618
208.1 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
91% |
879
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2674
46.1 IPS |
