HP HP ProBook 450 G5
Geekbench AI Score
835
Single Precision Score
420
Half Precision Score
939
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| 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% |
571
106.2 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
96% |
816
152.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
576
9.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
921
1.07 IPS |
|
|
Pose Estimation (Q)
|
87% |
2127
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
86% |
530
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1073
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
96% |
1343
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
572
4.40 IPS |
|
|
Depth Estimation (Q)
|
77% |
1468
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3029
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2279
2.93 IPS |
|
|
Style Transfer (Q)
|
87% |
4397
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.7 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (Q)
|
97% |
207
276.6 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
60% |
652
14.5 IPS |
