HP HP ProBook 440 14 inch G11 Notebook PC
Geekbench AI Score
2771
Single Precision Score
4826
Half Precision Score
1964
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | March 04 2026 10:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2858
531.5 IPS |
|
|
Image Classification (Q)
|
100% |
1187
220.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4302
69.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1369
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
10728
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
5749
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
3051
242.7 IPS |
|
|
Object Detection (Q)
|
86% |
1280
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (Q)
|
97% |
1953
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5345
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12743
98.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
4301
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22293
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35843
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16618
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6774
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2255
83.5 IPS |
|
|
Text Classification (SP)
|
86% |
638
862.3 IPS |
|
|
Text Classification (HP)
|
99% |
623
831.3 IPS |
|
|
Text Classification (Q)
|
84% |
334
452.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
681
12.8 IPS |
