HP HP ProBook 430 G8 Notebook PC
Geekbench AI Score
1880
Single Precision Score
894
Half Precision Score
4131
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 14 2026 12:30 PM |
| 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% |
1603
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
99% |
3585
668.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
3983
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
10031
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
86% |
3453
277.5 IPS |
|
|
Face Detection (SP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
97% |
5299
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3904
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1244
9.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
7897
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6328
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4285
5.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9029
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3848
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.5 IPS |
|
|
Text Classification (Q)
|
97% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1721
34.6 IPS |
