HP HP ProBook 430 G8 Notebook PC
Geekbench AI Score
2004
Single Precision Score
987
Half Precision Score
4269
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 20 2026 06:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| 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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
99% |
3731
695.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
4025
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3081
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1897
2.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
10805
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
86% |
3464
278.4 IPS |
|
|
Face Detection (SP)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
5414
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4199
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1411
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8289
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7001
9.00 IPS |
|
|
Style Transfer (HP)
|
100% |
5859
7.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9481
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1288
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3936
145.7 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.7 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1779
35.8 IPS |
