HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
885
Single Precision Score
365
Half Precision Score
1573
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Findusboy |
| Upload Date | March 14 2026 05:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP ProBook 440 14 inch G9 Notebook PC |
| Motherboard | HP 8A9E |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1738
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1357
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
3871
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
86% |
1235
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
2179
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1837
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
529
4.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
2812
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3371
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2173
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5502
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.5 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.2 IPS |
|
|
Text Classification (Q)
|
97% |
348
466.7 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.64 IPS |
|
|
Machine Translation (Q)
|
65% |
721
14.5 IPS |
