HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
2034
Single Precision Score
1053
Half Precision Score
5264
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Suruxka |
| Upload Date | March 29 2026 02:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP OmniBook Ultra Laptop 14-fd0xxx |
| Motherboard | HP 8CDD |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2471
459.6 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.7 IPS |
|
|
Image Classification (Q)
|
99% |
6044
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7920
128.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2817
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2385
2.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
17283
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
5290
425.2 IPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
7171
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2828
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1234
9.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
5041
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5932
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
4742
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
18500
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1093
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2966
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.8 IPS |
|
|
Text Classification (Q)
|
97% |
894
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.43 IPS |
|
|
Machine Translation (Q)
|
65% |
2108
42.4 IPS |
