HP HP ProBook 450 G5
Geekbench AI Score
1122
Single Precision Score
1701
Half Precision Score
1628
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ProBook 450 G5 |
| Motherboard | HP 837D |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
849
157.9 IPS |
|
|
Image Classification (HP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (Q)
|
100% |
1123
208.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1507
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (HP)
|
99% |
1646
1.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
2421
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.1 IPS |
|
|
Object Detection (HP)
|
99% |
1155
91.9 IPS |
|
|
Object Detection (Q)
|
88% |
1109
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
3297
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3410
26.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
3183
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4677
6.01 IPS |
|
|
Style Transfer (HP)
|
100% |
6184
7.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6037
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1472
54.5 IPS |
|
|
Text Classification (SP)
|
71% |
456
659.1 IPS |
|
|
Text Classification (HP)
|
71% |
543
785.5 IPS |
|
|
Text Classification (Q)
|
92% |
432
580.1 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (HP)
|
97% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
718
12.4 IPS |
