HP OMEN by HP Laptop 15-dc0xxx
Geekbench AI Score
1909
Single Precision Score
893
Half Precision Score
2892
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | KotofAlex |
| Upload Date | October 02 2025 06:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 15-dc0xxx |
| Motherboard | HP 84DB |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1665
309.6 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.6 IPS |
|
|
Image Classification (Q)
|
96% |
2411
450.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
2989
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
5932
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
58% |
1698
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
798
9.48 IPS |
|
|
Face Detection (Q)
|
96% |
4062
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3741
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1190
9.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
5436
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7533
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6371
8.19 IPS |
|
|
Style Transfer (Q)
|
87% |
7437
9.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2588
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (Q)
|
97% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
68% |
1451
28.0 IPS |
