FSSNB26 HP HP ProBook 440 G5
Geekbench AI Score
828
Single Precision Score
921
Half Precision Score
662
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | August 07 2025 07:51 PM |
| Views | 8 |
| Notes | HP HP ProBook 440 G5 |
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% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
100% |
372
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
410
6.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
1913
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
98% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
86% |
403
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
593
7.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1682
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1965
15.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1383
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5529
7.11 IPS |
|
|
Style Transfer (HP)
|
100% |
8371
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
4421
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
800
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.6 IPS |
|
|
Text Classification (HP)
|
100% |
246
329.0 IPS |
|
|
Text Classification (Q)
|
97% |
230
307.9 IPS |
|
|
Machine Translation (SP)
|
100% |
346
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
70% |
209
3.92 IPS |
