HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench AI Score
1800
Single Precision Score
747
Half Precision Score
3227
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PerformanceNL |
| Upload Date | January 21 2025 01:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 450 15.6 inch G9 Notebook PC |
| Motherboard | HP 8AA1 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
99% |
3024
564.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1786
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2644
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
7783
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
2657
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
828
9.84 IPS |
|
|
Face Detection (Q)
|
97% |
4531
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3680
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1060
8.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
7170
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6557
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
4354
5.60 IPS |
|
|
Style Transfer (Q)
|
98% |
9674
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2031
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
409
546.4 IPS |
|
|
Text Classification (Q)
|
97% |
1108
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
65% |
1552
31.2 IPS |
