HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
8887
Single Precision Score
23110
Half Precision Score
25732
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5033
935.9 IPS |
|
|
Image Classification (HP)
|
100% |
10868
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
14008
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8285
134.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22577
366.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26551
430.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19699
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107590
125.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
196635
230.2 IPS |
|
|
Object Detection (SP)
|
100% |
4899
388.6 IPS |
|
|
Object Detection (HP)
|
100% |
12639
1.00 KIPS |
|
|
Object Detection (Q)
|
88% |
12639
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12347
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
30184
358.7 IPS |
|
|
Face Detection (Q)
|
100% |
37304
443.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17340
133.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43009
331.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
52398
407.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43435
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
127605
164.0 IPS |
|
|
Style Transfer (Q)
|
98% |
135318
174.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8012
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24615
908.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28890
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2648
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6912
119.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6805
117.2 IPS |
