HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
3848
Single Precision Score
3858
Half Precision Score
11530
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Suruxka |
| Upload Date | March 29 2026 02:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
2765
514.2 IPS |
|
|
Image Classification (HP)
|
100% |
2689
500.1 IPS |
|
|
Image Classification (Q)
|
100% |
8229
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3183
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3221
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9508
154.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4279
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
14736
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
2395
189.9 IPS |
|
|
Object Detection (Q)
|
88% |
7277
583.4 IPS |
|
|
Face Detection (SP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
20856
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5152
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5138
39.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
17739
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10902
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10124
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60001
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11815
437.5 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
3808
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4956
85.4 IPS |
