HP HP ProBook 450 G6
Geekbench AI Score
849
Single Precision Score
420
Half Precision Score
1065
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usmanrazasaif |
| Upload Date | March 17 2025 09:19 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8265U |
| 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% |
730
135.8 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
96% |
1190
222.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
637
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
1807
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
58% |
564
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
96% |
1981
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1250
9.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
482
3.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
2018
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2551
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2051
2.64 IPS |
|
|
Style Transfer (Q)
|
87% |
3895
5.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
969
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
611
815.6 IPS |
|
|
Text Classification (HP)
|
100% |
357
477.0 IPS |
|
|
Text Classification (Q)
|
97% |
205
274.8 IPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
68% |
786
15.2 IPS |
