HP HP ProBook 440 G8 Notebook PC
Geekbench AI Score
2120
Single Precision Score
2310
Half Precision Score
1351
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 29 2025 08:57 AM |
| Views | 6 |
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 G8 Notebook PC |
| Motherboard | HP 8A74 |
| Power Plan | Ausbalanciert |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
181.0 IPS |
|
|
Image Classification (HP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (Q)
|
100% |
803
149.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
886
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7364
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
9634
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4331
5.07 IPS |
|
|
Object Detection (SP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
1020
81.1 IPS |
|
|
Object Detection (Q)
|
86% |
946
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
1252
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4394
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5262
40.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3071
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17831
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24660
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10519
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1161
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
702
936.6 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.4 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.4 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
70% |
370
6.95 IPS |
