HP HP ProBook x360 435 G8 Notebook PC
Geekbench AI Score
1656
Single Precision Score
812
Half Precision Score
3126
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 02:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 5850U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook x360 435 G8 Notebook PC |
| Motherboard | HP 8886 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 5850U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
96% |
2950
550.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
3369
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
5942
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
1129
89.5 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
58% |
1870
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.88 IPS |
|
|
Face Detection (Q)
|
96% |
4256
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3091
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1175
9.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
6360
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5851
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4692
6.03 IPS |
|
|
Style Transfer (Q)
|
87% |
9830
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2482
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (Q)
|
97% |
817
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1500
29.0 IPS |
