HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
2382
Single Precision Score
1574
Half Precision Score
6129
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GrevenX |
| Upload Date | November 11 2025 01:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 16-as0xxx |
| Motherboard | HP 8DA1 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (Q)
|
100% |
4876
906.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3853
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3144
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
7158
8.38 IPS |
|
|
Object Detection (SP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (HP)
|
100% |
892
70.7 IPS |
|
|
Object Detection (Q)
|
88% |
4693
376.2 IPS |
|
|
Face Detection (SP)
|
100% |
3858
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
100% |
5485
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4101
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2220
17.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
12286
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6783
8.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4578
5.88 IPS |
|
|
Style Transfer (Q)
|
98% |
30668
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6655
246.5 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4062
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2123
36.6 IPS |
