HP HP ProBook 450 G5
Geekbench AI Score
1418
Single Precision Score
2084
Half Precision Score
1976
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 16 2025 05:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 450 G5 |
| Motherboard | HP 837D |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
998
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (Q)
|
100% |
1315
244.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1768
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
99% |
2133
2.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
3126
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (HP)
|
99% |
1427
113.5 IPS |
|
|
Object Detection (Q)
|
88% |
1324
106.2 IPS |
|
|
Face Detection (SP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
3611
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2612
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4760
36.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4185
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6348
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
8500
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7868
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1976
73.2 IPS |
|
|
Text Classification (SP)
|
71% |
561
811.5 IPS |
|
|
Text Classification (HP)
|
71% |
639
924.2 IPS |
|
|
Text Classification (Q)
|
92% |
494
663.9 IPS |
|
|
Machine Translation (SP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
814
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
814
14.1 IPS |
