Hewlett-Packard HP Pavilion Notebook
Geekbench AI Score
882
Single Precision Score
868
Half Precision Score
997
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 11:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-5500U CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Pavilion Notebook |
| Motherboard | Hewlett-Packard 8094 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
100% |
596
110.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
686
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1015
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
921
1.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
1206
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
87% |
608
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
1659
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1315
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1288
9.92 IPS |
|
|
Depth Estimation (Q)
|
81% |
1554
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3003
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2838
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3497
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
737
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
91% |
467
627.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1053
18.1 IPS |
