HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2431
Single Precision Score
1263
Half Precision Score
4874
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 06:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
99% |
4014
748.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2500
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3038
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2497
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
11564
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
4012
322.4 IPS |
|
|
Face Detection (SP)
|
100% |
5017
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
6775
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4412
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1877
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10078
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7833
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6485
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
16850
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
668
892.0 IPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2616
52.6 IPS |
