HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
8953
Single Precision Score
22126
Half Precision Score
24610
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| 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% |
5887
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
11154
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
13598
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8143
132.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18372
297.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20227
327.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19987
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
110953
129.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
194112
227.3 IPS |
|
|
Object Detection (SP)
|
100% |
5656
448.7 IPS |
|
|
Object Detection (HP)
|
100% |
11914
945.0 IPS |
|
|
Object Detection (Q)
|
88% |
11626
931.7 IPS |
|
|
Face Detection (SP)
|
100% |
12858
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
29130
346.1 IPS |
|
|
Face Detection (Q)
|
100% |
33828
401.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19049
146.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44426
342.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
51539
400.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44002
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
139922
179.9 IPS |
|
|
Style Transfer (Q)
|
98% |
152905
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8145
300.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27296
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28680
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4433
5.92 KIPS |
|
|
Text Classification (Q)
|
92% |
3647
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4710
81.1 IPS |
