Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
721
Single Precision Score
409
Half Precision Score
756
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 10 2025 08:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 450 G1 |
| Motherboard | Hewlett-Packard 1942 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
96% |
564
105.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
1135
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
383
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
96% |
1322
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
1280
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2394
3.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1957
2.52 IPS |
|
|
Style Transfer (Q)
|
87% |
2525
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
536
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.2 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (Q)
|
97% |
450
603.1 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
68% |
656
12.7 IPS |
