HP HP ProBook 440 14 inch G9 Notebook PC
Geekbench AI Score
2255
Single Precision Score
2260
Half Precision Score
1419
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | November 30 2025 05:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (Q)
|
100% |
833
154.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7586
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
9121
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
4285
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.2 IPS |
|
|
Object Detection (HP)
|
98% |
927
73.7 IPS |
|
|
Object Detection (Q)
|
86% |
940
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
1535
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4235
32.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4699
36.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3127
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17659
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22959
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11132
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3295
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1170
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
351
468.0 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.2 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
387
7.26 IPS |
