HP HP ProBook 450 G5
Geekbench AI Score
643
Single Precision Score
761
Half Precision Score
495
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.2 IPS |
|
|
Image Classification (Q)
|
99% |
283
52.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
400
6.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1774
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
97% |
1532
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
98% |
329
26.2 IPS |
|
|
Object Detection (Q)
|
89% |
260
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.74 IPS |
|
|
Face Detection (Q)
|
97% |
458
5.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1070
8.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
1034
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
4543
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
5358
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2931
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.2 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (Q)
|
97% |
174
233.6 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.95 IPS |
|
|
Machine Translation (Q)
|
60% |
149
3.31 IPS |
