HP HP ProBook 440 G8 Notebook PC
Geekbench AI Score
2580
Single Precision Score
2601
Half Precision Score
7516
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 29 2025 08:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 G8 Notebook PC |
| Motherboard | HP 8A74 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1664
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
1656
307.9 IPS |
|
|
Image Classification (Q)
|
100% |
5147
957.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4334
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
12779
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (Q)
|
88% |
5042
404.2 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (Q)
|
100% |
12003
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3872
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4201
32.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13021
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8475
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8636
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33131
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6884
254.9 IPS |
|
|
Text Classification (SP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1974
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
3808
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2950
50.8 IPS |
