HP HP ProBook 450 15.6 inch G9 Notebook PC
Geekbench AI Score
1176
Single Precision Score
507
Half Precision Score
1859
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | March 21 2025 05:13 PM |
| Views | 9 |
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 | 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
99% |
2281
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2001
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1377
1.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
5347
6.27 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
86% |
1631
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (Q)
|
97% |
3143
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
6243
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4725
6.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3144
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
7132
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.7 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.2 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.2 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
65% |
739
14.8 IPS |
