HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
3046
Single Precision Score
2061
Half Precision Score
7934
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.3 IPS |
|
|
Image Classification (Q)
|
100% |
5155
958.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4886
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3302
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
12698
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
88% |
5232
419.4 IPS |
|
|
Face Detection (SP)
|
100% |
5450
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (Q)
|
100% |
13367
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4327
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3073
23.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14098
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9347
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5976
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
31919
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7295
270.2 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4312
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3124
53.8 IPS |
