HP OMEN by HP Laptop 15-dc0xxx
Geekbench AI Score
2600
Single Precision Score
2594
Half Precision Score
4153
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | KotofAlex |
| Upload Date | April 09 2025 08:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 15-dc0xxx |
| Motherboard | HP 84DB |
| Power Plan | High performance |
| 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% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
1682
312.9 IPS |
|
|
Image Classification (Q)
|
100% |
2833
526.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3022
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
6765
7.93 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (Q)
|
87% |
2944
236.1 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2309
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
7031
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4401
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4403
33.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7806
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10257
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10568
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20083
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4265
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (Q)
|
91% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2204
38.0 IPS |
