Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
911
Single Precision Score
882
Half Precision Score
1026
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | April 14 2025 03:11 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% |
485
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
100% |
607
112.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1062
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
1272
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
87% |
635
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
1733
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1327
10.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
1602
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3287
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3214
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3676
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
772
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
732
976.8 IPS |
|
|
Text Classification (HP)
|
100% |
726
968.4 IPS |
|
|
Text Classification (Q)
|
91% |
541
727.6 IPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
100% |
903
15.6 IPS |
