Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
925
Single Precision Score
929
Half Precision Score
1049
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 11 2025 07:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4300M CPU @ 2.60GHz |
| 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% |
497
92.5 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
100% |
613
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
690
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
1297
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.1 IPS |
|
|
Object Detection (Q)
|
87% |
638
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1730
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1440
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1443
11.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
1633
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3376
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3370
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3721
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
782
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.2 IPS |
|
|
Text Classification (HP)
|
100% |
732
976.9 IPS |
|
|
Text Classification (Q)
|
91% |
563
756.5 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1004
17.3 IPS |
