HP OMEN by HP Laptop 15-dc0xxx
Geekbench AI Score
5297
Single Precision Score
5307
Half Precision Score
4084
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | KotofAlex |
| Upload Date | April 09 2025 07:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| 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% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (Q)
|
99% |
1128
210.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2871
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32775
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27025
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
2797
221.8 IPS |
|
|
Object Detection (Q)
|
83% |
1612
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (Q)
|
97% |
3257
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11878
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10754
83.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9489
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55888
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34197
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44687
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10599
391.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7631
281.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7122
263.7 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (Q)
|
97% |
866
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1974
34.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1075
20.2 IPS |
