HP HP OmniBook X Laptop 14-fe0xxx
Geekbench ML Score
2084
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | October 31 2024 03:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook X Laptop 14-fe0xxx |
| Motherboard | HP 8CBE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Snapdragon(TM) X Elite - X1E78100 - Qualcomm(TM) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1071
200.5 IPS |
|
|
Image Classification (F16)
|
100% |
1123
210.2 IPS |
|
|
Image Classification (I8)
|
100% |
965
180.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1517
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1498
25.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1377
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8833
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9733
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8021
9.71 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.1 IPS |
|
|
Object Detection (F16)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (I8)
|
71% |
858
64.1 IPS |
|
|
Face Detection (F32)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (I8)
|
93% |
2041
24.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5038
39.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5559
43.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4404
34.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12727
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
13284
17.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11894
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4855
173.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4870
173.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3512
125.4 IPS |
|
|
Text Classification (F32)
|
100% |
236
339.6 IPS |
|
|
Text Classification (F16)
|
100% |
259
372.5 IPS |
|
|
Text Classification (I8)
|
98% |
216
310.2 IPS |
|
|
Machine Translation (F32)
|
100% |
888
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (I8)
|
65% |
581
10.7 IPS |
