HP HP ProBook 440 G8 Notebook PC
Geekbench AI Score
466
Single Precision Score
492
Half Precision Score
306
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 12:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP ProBook 440 G8 Notebook PC |
| Motherboard | HP 8A76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
100% |
169
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
187
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
792
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
98% |
198
15.8 IPS |
|
|
Object Detection (Q)
|
86% |
188
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (HP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (Q)
|
97% |
322
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1073
8.27 IPS |
|
|
Depth Estimation (HP)
|
98% |
1208
9.34 IPS |
|
|
Depth Estimation (Q)
|
77% |
747
5.99 IPS |
|
|
Style Transfer (SP)
|
100% |
4265
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5649
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2768
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
282
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.0 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.0 IPS |
|
|
Text Classification (Q)
|
97% |
88
118.0 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (Q)
|
70% |
93
1.75 IPS |
