Hewlett-Packard HP ProBook 450 G1
Geekbench AI Score
873
Single Precision Score
886
Half Precision Score
1027
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | y561994 |
| Upload Date | March 13 2025 01:02 PM |
| Views | 16 |
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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
100% |
605
112.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1056
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
1283
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
87% |
625
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1719
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1397
10.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
1587
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3277
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2446
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3667
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
778
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
704
940.2 IPS |
|
|
Text Classification (HP)
|
100% |
723
965.0 IPS |
|
|
Text Classification (Q)
|
91% |
529
710.7 IPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (Q)
|
100% |
975
16.8 IPS |
