HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
4324
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 03:32 AM |
| Views | 2 |
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% |
2132
398.9 IPS |
|
|
Image Classification (F16)
|
100% |
2429
454.6 IPS |
|
|
Image Classification (I8)
|
100% |
1887
353.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4468
74.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
4544
75.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3275
54.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11205
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
11446
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10273
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
2324
173.5 IPS |
|
|
Object Detection (F16)
|
100% |
2312
172.6 IPS |
|
|
Object Detection (I8)
|
61% |
2125
158.6 IPS |
|
|
Face Detection (F32)
|
100% |
5263
62.6 IPS |
|
|
Face Detection (F16)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (I8)
|
89% |
4025
47.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12044
93.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12043
93.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
10865
84.3 IPS |
|
|
Style Transfer (F32)
|
100% |
32380
42.6 IPS |
|
|
Style Transfer (F16)
|
100% |
31476
41.4 IPS |
|
|
Style Transfer (I8)
|
98% |
26818
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6868
245.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6364
227.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4019
143.5 IPS |
|
|
Text Classification (F32)
|
100% |
664
953.8 IPS |
|
|
Text Classification (F16)
|
100% |
585
840.3 IPS |
|
|
Text Classification (I8)
|
98% |
569
817.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2386
43.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2383
43.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1140
21.0 IPS |
