Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
844
Single Precision Score
895
Half Precision Score
1019
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 12 2025 12:38 AM |
| Views | 9 |
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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
1279
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.1 IPS |
|
|
Object Detection (Q)
|
87% |
631
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1435
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1421
10.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1602
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3330
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3298
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3687
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
776
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
739
986.0 IPS |
|
|
Text Classification (HP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
91% |
465
625.7 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
100% |
991
17.1 IPS |
