HP ProBook 440 G5 HP HP ProBook 440 G5
Geekbench AI Score
914
Single Precision Score
1066
Half Precision Score
751
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 30 2025 05:19 PM |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
100% |
393
73.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
486
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
2055
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
98% |
480
38.2 IPS |
|
|
Object Detection (Q)
|
86% |
431
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
791
9.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1677
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2093
16.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1443
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5749
7.39 IPS |
|
|
Style Transfer (HP)
|
100% |
8626
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4921
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
857
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.2 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (Q)
|
97% |
275
368.1 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (Q)
|
70% |
257
4.83 IPS |
