HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
2570
Single Precision Score
1104
Half Precision Score
5360
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GrevenX |
| Upload Date | November 11 2025 01:25 PM |
| Views | 10 |
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 |
| 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
99% |
4432
826.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6190
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4644
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
13373
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
3942
316.8 IPS |
|
|
Face Detection (SP)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
7427
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4843
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1468
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10292
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9011
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6471
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
16341
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4213
156.0 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
586
782.2 IPS |
|
|
Text Classification (Q)
|
97% |
1178
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2184
43.9 IPS |
