HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
5261
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 07:36 AM |
| Views | 3 |
System Information
| 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 |
| 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 | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3182
595.4 IPS |
|
|
Image Classification (F16)
|
100% |
3117
583.2 IPS |
|
|
Image Classification (I8)
|
100% |
2238
418.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5587
93.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5509
92.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4131
69.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
17075
20.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17134
20.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13911
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
2546
190.1 IPS |
|
|
Object Detection (F16)
|
100% |
2727
203.6 IPS |
|
|
Object Detection (I8)
|
61% |
2354
175.7 IPS |
|
|
Face Detection (F32)
|
100% |
7390
87.9 IPS |
|
|
Face Detection (F16)
|
100% |
7438
88.4 IPS |
|
|
Face Detection (I8)
|
89% |
5193
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15557
120.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15934
123.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
13509
104.8 IPS |
|
|
Style Transfer (F32)
|
100% |
38810
51.1 IPS |
|
|
Style Transfer (F16)
|
100% |
42846
56.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32647
42.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6817
243.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6380
227.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4304
153.7 IPS |
|
|
Text Classification (F32)
|
100% |
769
1.11 KIPS |
|
|
Text Classification (F16)
|
100% |
855
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
488
701.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2442
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2446
45.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1232
22.7 IPS |
