HP HP ProBook 430 G6
Geekbench AI Score
1316
Single Precision Score
662
Half Precision Score
2026
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | February 18 2026 02:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 430 G6 |
| Motherboard | HP 8536 |
| Power Plan | HP Optimized |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
96% |
1452
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
1653
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1457
1.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
3692
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
58% |
1112
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (Q)
|
96% |
3041
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2591
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
839
6.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
3648
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4436
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3603
4.63 IPS |
|
|
Style Transfer (Q)
|
87% |
6412
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1677
62.1 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.5 IPS |
|
|
Text Classification (Q)
|
97% |
810
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (Q)
|
68% |
1225
23.7 IPS |
