HP HP ProBook x360 435 G8 Notebook PC
Geekbench AI Score
2104
Single Precision Score
2083
Half Precision Score
3715
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 02:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 5850U with Radeon Graphics |
| 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% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (Q)
|
100% |
3170
589.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3029
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3061
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
5408
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (Q)
|
87% |
2119
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
5841
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2706
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3220
24.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6852
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7967
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7429
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
17642
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3957
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
91% |
705
947.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1979
34.1 IPS |
