HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
2039
Single Precision Score
814
Half Precision Score
4134
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | November 30 2025 05:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 440 14 inch G9 Notebook PC |
| Motherboard | HP 8977 |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
99% |
3391
632.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4306
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1691
1.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
8836
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (Q)
|
86% |
2880
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (Q)
|
97% |
5327
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3963
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1027
7.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
8298
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7503
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
4655
5.98 IPS |
|
|
Style Transfer (Q)
|
98% |
11493
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3145
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
465
621.1 IPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
65% |
2046
41.1 IPS |
