HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
3130
Single Precision Score
21260
Half Precision Score
31898
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 16-as0xxx |
| Motherboard | HP 8DA1 |
| 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% |
1921
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
9321
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
13077
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15728
255.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30515
494.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3406
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
101665
118.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
196521
230.2 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
14299
1.13 KIPS |
|
|
Object Detection (Q)
|
87% |
19836
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
29842
354.6 IPS |
|
|
Face Detection (Q)
|
100% |
63112
749.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4640
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64685
498.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
100148
779.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9548
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
197942
254.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293930
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28366
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48875
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4040
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3730
64.3 IPS |
