HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
1326
Single Precision Score
6441
Half Precision Score
9533
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 11:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
4796
891.8 IPS |
|
|
Image Classification (Q)
|
56% |
4195
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
26934
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
59852
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.3 IPS |
|
|
Object Detection (HP)
|
100% |
3638
288.5 IPS |
|
|
Object Detection (Q)
|
87% |
6559
526.4 IPS |
|
|
Face Detection (SP)
|
100% |
2478
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
9736
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
17083
203.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2546
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11277
86.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
21423
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5744
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
34081
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63585
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10175
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17953
664.9 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1043
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2651
45.7 IPS |
