Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
909
Single Precision Score
907
Half Precision Score
1038
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 11 2025 03:31 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% |
489
91.0 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
620
115.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
1276
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
87% |
630
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1718
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1423
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1409
10.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1623
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3282
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3263
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3667
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
782
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
708
944.3 IPS |
|
|
Text Classification (HP)
|
100% |
726
969.2 IPS |
|
|
Text Classification (Q)
|
91% |
560
752.5 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (Q)
|
100% |
958
16.5 IPS |
