HP HP ProBook 450 G5
Geekbench AI Score
1120
Single Precision Score
1108
Half Precision Score
1637
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ProBook 450 G5 |
| Motherboard | HP 837D |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
744
138.4 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (Q)
|
100% |
1124
209.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1224
1.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
2326
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
87% |
843
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
1772
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
2982
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2738
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3520
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3534
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6938
8.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1417
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.0 IPS |
|
|
Text Classification (HP)
|
100% |
728
971.1 IPS |
|
|
Text Classification (Q)
|
91% |
720
967.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
100% |
972
16.7 IPS |
