HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
8443
Single Precision Score
22511
Half Precision Score
24006
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 10:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 16-as0xxx |
| Motherboard | HP 8DA1 |
| Power Plan | Balanced |
| 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% |
7094
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
12739
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15206
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8742
141.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22945
372.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26491
429.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22362
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125292
146.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
253533
296.8 IPS |
|
|
Object Detection (SP)
|
100% |
3657
290.1 IPS |
|
|
Object Detection (HP)
|
100% |
9838
780.4 IPS |
|
|
Object Detection (Q)
|
88% |
11477
919.8 IPS |
|
|
Face Detection (SP)
|
100% |
7976
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
21884
260.0 IPS |
|
|
Face Detection (Q)
|
100% |
27532
327.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20031
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51212
394.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
60686
471.9 IPS |
|
|
Style Transfer (SP)
|
100% |
46732
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
141416
181.8 IPS |
|
|
Style Transfer (Q)
|
98% |
153617
198.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8775
324.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23997
886.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16969
628.4 IPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4659
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2460
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5235
90.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5063
87.2 IPS |
