HP OMEN by HP Laptop 15-dc0xxx
Geekbench AI Score
1918
Single Precision Score
887
Half Precision Score
2703
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | KotofAlex |
| Upload Date | April 09 2025 07:39 PM |
| Views | 7 |
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 | 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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
96% |
2548
475.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
6367
7.53 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
58% |
1778
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
96% |
4046
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4046
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1249
9.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
5366
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7786
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6397
8.22 IPS |
|
|
Style Transfer (Q)
|
87% |
7696
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1867
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.8 IPS |
|
|
Text Classification (Q)
|
97% |
942
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1471
28.4 IPS |
