HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
3451
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 04:59 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1653
309.4 IPS |
|
|
Image Classification (F16)
|
100% |
1765
330.2 IPS |
|
|
Image Classification (I8)
|
99% |
3293
616.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1613
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2608
43.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4741
5.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
5031
6.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
17924
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1815
135.5 IPS |
|
|
Object Detection (F16)
|
100% |
1782
133.0 IPS |
|
|
Object Detection (I8)
|
62% |
1764
131.7 IPS |
|
|
Face Detection (F32)
|
100% |
4075
48.5 IPS |
|
|
Face Detection (F16)
|
100% |
4099
48.7 IPS |
|
|
Face Detection (I8)
|
89% |
4530
53.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6169
47.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6150
47.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
13088
101.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12403
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12438
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
21909
28.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2651
94.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2710
96.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4738
169.2 IPS |
|
|
Text Classification (F32)
|
100% |
1284
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1299
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1168
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2007
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1997
36.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2613
48.1 IPS |
