HP HP ProBook 440 G8 Notebook PC
Geekbench AI Score
3106
Single Precision Score
4519
Half Precision Score
7083
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 29 2025 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
99% |
3797
708.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5211
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7208
8.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
5460
6.37 IPS |
|
|
Pose Estimation (Q)
|
97% |
24899
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (Q)
|
90% |
4836
386.7 IPS |
|
|
Face Detection (SP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6643
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
10687
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6746
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11292
87.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15485
120.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17138
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26712
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54417
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2928
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4692
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9249
342.5 IPS |
|
|
Text Classification (SP)
|
71% |
1055
1.53 KIPS |
|
|
Text Classification (HP)
|
71% |
1254
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1205
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1324
22.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1330
22.9 IPS |
