Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
619
Single Precision Score
648
Half Precision Score
794
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 15 2025 12:36 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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
176
32.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
381
6.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
917
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
87% |
475
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
841
10.00 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
1691
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1387
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
1556
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3268
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3257
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3622
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
706
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
723
965.1 IPS |
|
|
Text Classification (HP)
|
100% |
721
962.0 IPS |
|
|
Text Classification (Q)
|
91% |
563
756.3 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
100% |
907
15.6 IPS |
