HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench AI Score
1616
Single Precision Score
744
Half Precision Score
3486
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | April 12 2026 11:18 AM |
| Views | 4 |
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 8978 |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
99% |
2766
515.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1460
1.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
6931
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (Q)
|
86% |
2831
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
5105
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
4701
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5327
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3742
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
9445
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3213
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
743
991.1 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
97% |
1031
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
65% |
1777
35.7 IPS |
