HP HP OmniBook X Laptop 14-fe0xxx
Geekbench AI Score
2163
Single Precision Score
3519
Half Precision Score
6834
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 15 2025 01:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(TM) X Elite - X1E78100 - Qualcomm(TM) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook X Laptop 14-fe0xxx |
| Motherboard | HP 8CBE |
| Power Plan | CPU Lab - Battery Testing |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (HP)
|
100% |
3249
604.3 IPS |
|
|
Image Classification (Q)
|
99% |
6739
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6959
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
9742
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
24289
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (HP)
|
99% |
2477
197.1 IPS |
|
|
Object Detection (Q)
|
86% |
6649
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
7057
83.9 IPS |
|
|
Face Detection (Q)
|
97% |
12043
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2590
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4101
31.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
12297
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15629
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11935
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37536
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2372
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3933
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
689
919.7 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2784
48.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3207
64.4 IPS |
