HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
5368
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 05:05 PM |
| Views | 4 |
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% |
3371
630.8 IPS |
|
|
Image Classification (F16)
|
100% |
2891
541.0 IPS |
|
|
Image Classification (I8)
|
100% |
2487
465.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6118
102.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5987
100.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4463
74.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20028
24.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
20101
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16476
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
2734
204.1 IPS |
|
|
Object Detection (F16)
|
100% |
2848
212.6 IPS |
|
|
Object Detection (I8)
|
61% |
2389
178.3 IPS |
|
|
Face Detection (F32)
|
100% |
7567
90.0 IPS |
|
|
Face Detection (F16)
|
100% |
7989
95.0 IPS |
|
|
Face Detection (I8)
|
89% |
5283
62.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18057
140.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17258
133.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
13518
104.8 IPS |
|
|
Style Transfer (F32)
|
100% |
47099
62.0 IPS |
|
|
Style Transfer (F16)
|
100% |
45905
60.4 IPS |
|
|
Style Transfer (I8)
|
98% |
36910
48.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7541
269.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8122
290.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5266
188.1 IPS |
|
|
Text Classification (F32)
|
100% |
894
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
602
865.4 IPS |
|
|
Text Classification (I8)
|
98% |
404
580.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
70% |
826
15.2 IPS |
