HP HP OmniBook X Laptop 14-fe0xxx
Geekbench ML Score
2823
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | October 31 2024 03:22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
723
135.2 IPS |
|
|
Image Classification (F16)
|
100% |
720
134.7 IPS |
|
|
Image Classification (I8)
|
99% |
3783
707.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
732
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2133
35.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6143
7.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
6276
7.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
18319
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
928
69.3 IPS |
|
|
Object Detection (F16)
|
100% |
922
68.8 IPS |
|
|
Object Detection (I8)
|
65% |
3349
250.0 IPS |
|
|
Face Detection (F32)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
6215
73.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2369
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2271
17.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
12770
99.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12237
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12906
17.0 IPS |
|
|
Style Transfer (I8)
|
98% |
34115
44.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2449
87.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2545
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3837
137.0 IPS |
|
|
Text Classification (F32)
|
100% |
1437
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1414
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1154
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2079
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2083
38.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3422
63.0 IPS |
