Hewlett-Packard HP OMEN Notebook PC 15
Geekbench AI Score
1368
Single Precision Score
705
Half Precision Score
1381
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4710HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Hewlett-Packard HP OMEN Notebook PC 15 |
| Motherboard | Hewlett-Packard 2332 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4710HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1106
205.7 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
1155
215.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
857
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2069
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1699
1.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
2488
2.94 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.2 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
58% |
772
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
96% |
2555
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2612
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
2778
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4752
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3868
4.97 IPS |
|
|
Style Transfer (Q)
|
87% |
5044
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1293
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
469
625.8 IPS |
|
|
Text Classification (Q)
|
97% |
283
378.9 IPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
68% |
1017
19.6 IPS |
