HP HP ProBook 430 G8 Notebook PC
Geekbench AI Score
2089
Single Precision Score
2286
Half Precision Score
1333
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 14 2026 01:36 PM |
| Views | 12 |
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 430 G8 Notebook PC |
| Motherboard | HP 87DF |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
937
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
988
183.8 IPS |
|
|
Image Classification (Q)
|
100% |
795
147.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
874
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7323
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
9641
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4308
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
98% |
1006
80.1 IPS |
|
|
Object Detection (Q)
|
86% |
935
75.2 IPS |
|
|
Face Detection (SP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1230
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4364
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5207
40.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3075
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17669
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24621
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10405
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
693
924.8 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.1 IPS |
|
|
Text Classification (Q)
|
97% |
388
519.8 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
70% |
361
6.78 IPS |
