HP HP ProBook 430 G8 Notebook PC
Geekbench AI Score
2077
Single Precision Score
2274
Half Precision Score
1335
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 20 2026 06:24 AM |
| Views | 11 |
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% |
920
171.2 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.3 IPS |
|
|
Image Classification (Q)
|
100% |
816
151.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7288
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9632
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4295
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
98% |
1013
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
929
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1251
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4357
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5212
40.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3074
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17710
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24559
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10452
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1159
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.3 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.4 IPS |
|
|
Text Classification (Q)
|
97% |
371
497.5 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
70% |
364
6.83 IPS |
