HP OMEN by HP Laptop 15-dc0xxx
Geekbench AI Score
3460
Single Precision Score
3027
Half Precision Score
2504
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 13 2025 12:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | HP OMEN by HP Laptop 15-dc0xxx |
| Motherboard | HP 84DA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
99% |
1084
202.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17174
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9642
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14257
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (Q)
|
83% |
1295
104.6 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
2268
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6852
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5714
44.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5281
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23251
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17816
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19639
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4450
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3586
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
556
744.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1492
25.8 IPS |
|
|
Machine Translation (Q)
|
70% |
749
14.0 IPS |
