FSSNB26 HP HP ProBook 440 G5
Geekbench AI Score
1210
Single Precision Score
589
Half Precision Score
1843
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | August 07 2025 07:11 PM |
| Views | 10 |
| Notes | HP HP ProBook 440 G5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 G5 |
| Motherboard | HP 837B |
| Power Plan | HP Optimized (recommended) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
985
183.1 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1424
1.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
3398
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
58% |
1158
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (Q)
|
96% |
2817
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2097
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
3706
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4499
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3375
4.34 IPS |
|
|
Style Transfer (Q)
|
87% |
5015
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1305
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
490
653.7 IPS |
|
|
Text Classification (Q)
|
97% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
68% |
977
18.9 IPS |
