HP HP ProBook 450 G6
Geekbench AI Score
924
Single Precision Score
1065
Half Precision Score
749
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | January 20 2026 04:20 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 450 G6 |
| Motherboard | HP 8538 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
100% |
404
75.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
2262
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
2066
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
98% |
482
38.3 IPS |
|
|
Object Detection (Q)
|
86% |
433
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
811
9.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
1690
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2103
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1457
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5792
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
8728
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5000
6.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1588
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
875
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.8 IPS |
|
|
Text Classification (HP)
|
100% |
257
343.5 IPS |
|
|
Text Classification (Q)
|
97% |
236
316.6 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
70% |
258
4.84 IPS |
