HP ProBook 440 G5 HP HP ProBook 440 G5
Geekbench AI Score
1350
Single Precision Score
648
Half Precision Score
2047
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 26 2025 01:46 AM |
| Views | 3 |
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% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.3 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1946
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1494
1.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
3562
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
58% |
1165
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
593
7.04 IPS |
|
|
Face Detection (Q)
|
96% |
3015
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2588
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
3627
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4798
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3502
4.50 IPS |
|
|
Style Transfer (Q)
|
87% |
5473
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1754
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
544
726.2 IPS |
|
|
Text Classification (Q)
|
97% |
852
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
68% |
1024
19.8 IPS |
