HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
5214
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 05:03 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 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 4.00 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% |
2819
527.5 IPS |
|
|
Image Classification (F16)
|
100% |
3679
688.4 IPS |
|
|
Image Classification (I8)
|
100% |
2335
437.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
6047
101.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5850
97.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4503
75.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
20022
24.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19892
24.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16217
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
2774
207.1 IPS |
|
|
Object Detection (F16)
|
100% |
2809
209.7 IPS |
|
|
Object Detection (I8)
|
61% |
2385
178.0 IPS |
|
|
Face Detection (F32)
|
100% |
7991
95.0 IPS |
|
|
Face Detection (F16)
|
100% |
7992
95.0 IPS |
|
|
Face Detection (I8)
|
89% |
5462
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17718
137.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17908
138.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
13524
104.9 IPS |
|
|
Style Transfer (F32)
|
100% |
51136
67.3 IPS |
|
|
Style Transfer (F16)
|
100% |
43316
57.0 IPS |
|
|
Style Transfer (I8)
|
98% |
37308
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7603
271.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6917
247.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4260
152.1 IPS |
|
|
Text Classification (F32)
|
100% |
586
842.3 IPS |
|
|
Text Classification (F16)
|
100% |
601
863.6 IPS |
|
|
Text Classification (I8)
|
98% |
419
602.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1474
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1467
27.0 IPS |
|
|
Machine Translation (I8)
|
70% |
803
14.8 IPS |
