HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
4782
Single Precision Score
7772
Half Precision Score
12285
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | March 04 2026 11:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 14 inch G11 Notebook PC |
| Motherboard | HP 8C83 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3166
588.9 IPS |
|
|
Image Classification (HP)
|
100% |
4932
917.2 IPS |
|
|
Image Classification (Q)
|
100% |
7069
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2723
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6606
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9776
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10521
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10059
11.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
34796
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (Q)
|
88% |
8024
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
12370
147.0 IPS |
|
|
Face Detection (Q)
|
100% |
20884
248.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9757
75.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
16942
130.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
21987
170.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28081
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35070
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85005
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8524
314.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13584
503.1 IPS |
|
|
Text Classification (SP)
|
71% |
1384
2.00 KIPS |
|
|
Text Classification (HP)
|
71% |
2490
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2423
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3191
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3159
54.6 IPS |
