HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
9791
Single Precision Score
23809
Half Precision Score
27300
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GrevenX |
| Upload Date | November 11 2025 01:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| 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% |
6916
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13448
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
16263
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8438
136.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23412
379.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28197
457.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22424
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
124404
145.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
240887
282.0 IPS |
|
|
Object Detection (SP)
|
100% |
5868
465.5 IPS |
|
|
Object Detection (HP)
|
100% |
13971
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
15199
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
12099
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
29109
345.9 IPS |
|
|
Face Detection (Q)
|
100% |
40756
484.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20905
161.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51464
396.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
62937
489.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51645
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
145971
187.6 IPS |
|
|
Style Transfer (Q)
|
98% |
147971
190.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9455
349.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23498
867.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25903
959.3 IPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
92% |
2596
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4396
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5368
92.5 IPS |
