HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
5302
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 05:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3485
652.1 IPS |
|
|
Image Classification (F16)
|
100% |
3061
572.9 IPS |
|
|
Image Classification (I8)
|
100% |
2248
420.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6093
101.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
6093
101.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4369
73.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
19604
23.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
20072
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16443
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
2767
206.6 IPS |
|
|
Object Detection (F16)
|
100% |
2827
211.0 IPS |
|
|
Object Detection (I8)
|
61% |
2621
195.6 IPS |
|
|
Face Detection (F32)
|
100% |
7683
91.4 IPS |
|
|
Face Detection (F16)
|
100% |
7954
94.6 IPS |
|
|
Face Detection (I8)
|
89% |
5278
62.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16710
129.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
16675
129.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
14077
109.2 IPS |
|
|
Style Transfer (F32)
|
100% |
44104
58.0 IPS |
|
|
Style Transfer (F16)
|
100% |
44949
59.1 IPS |
|
|
Style Transfer (I8)
|
98% |
34013
44.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7490
267.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8533
304.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4821
172.2 IPS |
|
|
Text Classification (F32)
|
100% |
551
792.3 IPS |
|
|
Text Classification (F16)
|
100% |
970
1.39 KIPS |
|
|
Text Classification (I8)
|
98% |
423
608.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1470
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1466
27.0 IPS |
|
|
Machine Translation (I8)
|
70% |
822
15.1 IPS |
