HP HP ProBook 430 G6
Geekbench AI Score
917
Single Precision Score
499
Half Precision Score
1243
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | January 20 2026 10:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8145U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 430 G6 |
| Motherboard | HP 8536 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8145U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
643
119.5 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
96% |
952
177.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
2077
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
58% |
682
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (Q)
|
96% |
2102
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1608
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
726
5.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
2220
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3164
4.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2227
2.86 IPS |
|
|
Style Transfer (Q)
|
87% |
3368
4.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
912
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.7 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (Q)
|
97% |
699
936.1 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
68% |
869
16.8 IPS |
