HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench AI Score
2273
Single Precision Score
2299
Half Precision Score
1434
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | April 12 2026 12:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1037
192.9 IPS |
|
|
Image Classification (HP)
|
100% |
1006
187.2 IPS |
|
|
Image Classification (Q)
|
100% |
875
162.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7951
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
9084
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4395
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
986
78.4 IPS |
|
|
Object Detection (Q)
|
86% |
935
75.2 IPS |
|
|
Face Detection (SP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
1509
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4443
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4985
38.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3145
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18258
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23499
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11564
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3538
130.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1176
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.5 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.0 IPS |
|
|
Text Classification (Q)
|
97% |
374
500.9 IPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
70% |
408
7.66 IPS |
