HP HP ProBook 450 G6
Geekbench AI Score
825
Single Precision Score
1000
Half Precision Score
685
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usmanrazasaif |
| Upload Date | March 17 2025 09:36 AM |
| Views | 13 |
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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
100% |
394
73.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
426
6.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3094
3.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
1741
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
98% |
453
36.1 IPS |
|
|
Object Detection (Q)
|
86% |
396
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
806
9.58 IPS |
|
|
Face Detection (HP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
679
8.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1820
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1292
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5277
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
8147
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
4352
5.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
824
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
431
574.6 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.9 IPS |
|
|
Text Classification (Q)
|
97% |
263
353.0 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
70% |
238
4.46 IPS |
