HP ProBook 440 G5 HP HP ProBook 440 G5
Geekbench AI Score
865
Single Precision Score
1036
Half Precision Score
677
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 26 2025 02:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.6 IPS |
|
|
Image Classification (Q)
|
100% |
381
70.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
1937
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
98% |
465
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
406
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.07 IPS |
|
|
Face Detection (HP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
629
7.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2055
15.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1354
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5534
7.11 IPS |
|
|
Style Transfer (HP)
|
100% |
8500
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4463
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.2 IPS |
|
|
Text Classification (HP)
|
100% |
256
342.4 IPS |
|
|
Text Classification (Q)
|
97% |
243
326.1 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
70% |
234
4.38 IPS |
