HP OMEN by HP Laptop 17-an0xx
Geekbench AI Score
1350
Single Precision Score
656
Half Precision Score
1639
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 07:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7300HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP OMEN by HP Laptop 17-an0xx |
| Motherboard | HP 8392 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
766
142.5 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1343
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
3343
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
58% |
1001
109.4 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (Q)
|
96% |
3270
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
4034
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5973
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4545
5.84 IPS |
|
|
Style Transfer (Q)
|
87% |
7291
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1158
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
976
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1831
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.3 IPS |
|
|
Text Classification (Q)
|
97% |
309
414.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1214
23.5 IPS |
