HP OMEN by HP Laptop 15-dc0xxx
Geekbench AI Score
4032
Single Precision Score
3569
Half Precision Score
3070
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 03:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP OMEN by HP Laptop 15-dc0xxx |
| Motherboard | HP 84DA |
| Power Plan | Performances optimales |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (Q)
|
99% |
1288
240.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21110
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11672
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17580
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (Q)
|
83% |
1533
123.8 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
2737
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8107
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6900
53.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6411
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28772
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21514
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23983
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6672
246.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4766
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (Q)
|
97% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1662
28.7 IPS |
|
|
Machine Translation (Q)
|
70% |
854
16.0 IPS |
