HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
3168
Single Precision Score
22053
Half Precision Score
33783
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 09:08 PM |
| Views | 4 |
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% |
11573
2.15 KIPS |
|
|
Image Classification (Q)
|
100% |
16632
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15889
257.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28065
455.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
103732
121.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
200736
235.1 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
15739
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
22119
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
5714
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
27929
331.9 IPS |
|
|
Face Detection (Q)
|
100% |
67072
797.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4657
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
67733
521.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
109373
851.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9862
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
214101
275.2 IPS |
|
|
Style Transfer (Q)
|
98% |
299666
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29762
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52804
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2085
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3861
66.5 IPS |
