HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
3274
Single Precision Score
4517
Half Precision Score
7223
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | November 30 2025 05:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3067
570.4 IPS |
|
|
Image Classification (Q)
|
99% |
4436
827.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6136
99.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
5019
5.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
23201
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (Q)
|
90% |
4628
370.1 IPS |
|
|
Face Detection (SP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
8610
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
12250
145.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11325
87.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
15352
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17150
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24777
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
50368
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2788
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4329
159.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9254
342.7 IPS |
|
|
Text Classification (SP)
|
71% |
1017
1.47 KIPS |
|
|
Text Classification (HP)
|
71% |
1230
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1326
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1289
22.3 IPS |
