HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
2353
Single Precision Score
1198
Half Precision Score
4773
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 08:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1644
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
99% |
3997
745.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3068
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2575
3.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
11226
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
4052
325.7 IPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
6728
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4089
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1520
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9963
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7550
9.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6143
7.90 IPS |
|
|
Style Transfer (Q)
|
98% |
16282
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3054
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.0 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2699
54.2 IPS |
