HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
2951
Single Precision Score
20799
Half Precision Score
31784
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:19 PM |
| Views | 5 |
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% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
8574
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
16778
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15882
257.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30023
486.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
100856
117.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
187437
219.6 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
11839
939.1 IPS |
|
|
Object Detection (Q)
|
87% |
19346
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
27331
324.8 IPS |
|
|
Face Detection (Q)
|
100% |
52779
627.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4459
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63124
486.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
98208
764.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9222
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
198988
255.8 IPS |
|
|
Style Transfer (Q)
|
98% |
298718
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35003
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44222
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3473
59.8 IPS |
