Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
936
Single Precision Score
922
Half Precision Score
1046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 11 2025 06:06 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% |
513
95.4 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1111
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
1299
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
87% |
636
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1725
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1440
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1424
11.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
1625
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3341
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3351
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3721
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.3 IPS |
|
|
Text Classification (HP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
91% |
558
749.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
997
17.2 IPS |
