Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
905
Single Precision Score
914
Half Precision Score
1030
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 11 2025 03:39 AM |
| Views | 5 |
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% |
466
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
686
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
1274
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
87% |
628
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1217
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1698
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1409
10.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1576
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3281
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3275
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3640
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
768
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
722
964.3 IPS |
|
|
Text Classification (HP)
|
100% |
719
959.5 IPS |
|
|
Text Classification (Q)
|
91% |
544
731.1 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
976
16.8 IPS |
