HP HP OmniBook X Laptop 14-fe0xxx
Geekbench ML Score
3011
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 31 2024 05:09 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 | 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
725
135.7 IPS |
|
|
Image Classification (F16)
|
100% |
728
136.2 IPS |
|
|
Image Classification (I8)
|
99% |
4005
749.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
823
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2349
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6808
8.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
6884
8.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
25650
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
924
69.0 IPS |
|
|
Object Detection (F16)
|
100% |
925
69.0 IPS |
|
|
Object Detection (I8)
|
65% |
3469
259.0 IPS |
|
|
Face Detection (F32)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (I8)
|
89% |
6134
72.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2670
20.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2666
20.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14471
112.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16800
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16773
22.1 IPS |
|
|
Style Transfer (I8)
|
98% |
29054
38.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2501
89.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2491
89.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3993
142.6 IPS |
|
|
Text Classification (F32)
|
100% |
1469
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1467
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1160
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2191
40.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2170
39.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3617
66.6 IPS |
