HP OMEN Laptop 15-en1xxx
Geekbench AI Score
3119
Single Precision Score
4237
Half Precision Score
2347
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 02:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (Q)
|
100% |
1187
220.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11389
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19865
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9350
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.4 IPS |
|
|
Object Detection (HP)
|
100% |
1759
139.6 IPS |
|
|
Object Detection (Q)
|
88% |
1243
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
2420
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6553
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10243
78.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5424
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21077
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35479
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16827
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6362
234.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2940
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
669
896.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (Q)
|
70% |
710
13.3 IPS |
