HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
3200
Single Precision Score
21958
Half Precision Score
33419
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 09:30 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% |
1913
355.8 IPS |
|
|
Image Classification (HP)
|
100% |
11442
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15431
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15968
258.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30165
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3369
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
101254
118.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
202264
236.9 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
15700
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
22089
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
5747
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
28890
343.3 IPS |
|
|
Face Detection (Q)
|
100% |
66506
790.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4762
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67071
516.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
107119
833.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10082
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202423
260.2 IPS |
|
|
Style Transfer (Q)
|
98% |
296869
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30489
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53710
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2038
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3610
62.2 IPS |
