HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
2471
Single Precision Score
8723
Half Precision Score
13593
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | March 04 2026 11:10 AM |
| Views | 15 |
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 | 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
6263
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8982
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
30112
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64394
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
5311
421.3 IPS |
|
|
Object Detection (Q)
|
88% |
8950
717.5 IPS |
|
|
Face Detection (SP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
14552
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
27827
330.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3886
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15421
118.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
27861
216.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9623
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45100
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83041
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14095
520.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27508
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
1943
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3909
67.3 IPS |
