HP HP OmniBook X Laptop 14-fe0xxx
Geekbench ML Score
2322
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 31 2024 05:15 PM |
| Views | 3 |
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 | Balanced |
| 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% |
1419
265.6 IPS |
|
|
Image Classification (F16)
|
100% |
1475
276.1 IPS |
|
|
Image Classification (I8)
|
100% |
1144
214.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1712
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1684
28.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1450
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9649
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9549
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8339
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1230
91.8 IPS |
|
|
Object Detection (F16)
|
100% |
1213
90.6 IPS |
|
|
Object Detection (I8)
|
71% |
1075
80.3 IPS |
|
|
Face Detection (F32)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (F16)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (I8)
|
93% |
2273
27.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5498
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5568
43.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4642
36.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13099
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12994
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11931
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5053
180.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4993
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3505
125.2 IPS |
|
|
Text Classification (F32)
|
100% |
300
430.8 IPS |
|
|
Text Classification (F16)
|
100% |
286
411.3 IPS |
|
|
Text Classification (I8)
|
98% |
241
347.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (I8)
|
65% |
687
12.6 IPS |
