FSSNB26 HP HP ProBook 440 G5
Geekbench AI Score
1593
Single Precision Score
1582
Half Precision Score
2793
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | August 07 2025 07:25 PM |
| Views | 7 |
| Notes | HP HP ProBook 440 G5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| 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% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
1074
199.7 IPS |
|
|
Image Classification (Q)
|
100% |
1957
363.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1909
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1826
2.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
3938
4.62 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
87% |
1861
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
4513
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2693
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2620
20.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
4995
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5411
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
5593
7.19 IPS |
|
|
Style Transfer (Q)
|
98% |
12508
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1224
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2580
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
941
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1545
26.6 IPS |
