HP OMEN Laptop 15-ek0xxx
Geekbench AI Score
1650
Single Precision Score
2480
Half Precision Score
2366
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 12:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN Laptop 15-ek0xxx |
| Motherboard | HP 878A |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1064
197.8 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.3 IPS |
|
|
Image Classification (Q)
|
100% |
1483
275.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
2480
2.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
3675
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
99% |
1640
130.4 IPS |
|
|
Object Detection (Q)
|
88% |
1536
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (Q)
|
97% |
4078
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3195
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5278
40.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4873
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7471
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
10167
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9206
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2168
80.3 IPS |
|
|
Text Classification (SP)
|
71% |
711
1.03 KIPS |
|
|
Text Classification (HP)
|
71% |
831
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
640
860.2 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1279
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
