HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
4382
Single Precision Score
6540
Half Precision Score
3286
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 10:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (Q)
|
100% |
1109
206.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4676
75.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7868
127.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3633
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13834
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48391
56.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12980
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (Q)
|
88% |
1454
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
7119
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
12054
143.2 IPS |
|
|
Face Detection (Q)
|
97% |
5498
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11791
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12327
95.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
8847
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
40884
52.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116919
150.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32963
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6681
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3011
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
374
498.9 IPS |
|
|
Text Classification (HP)
|
100% |
549
732.8 IPS |
|
|
Text Classification (Q)
|
97% |
433
580.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
926
17.4 IPS |
