HP HP OmniBook X Laptop 14-fe0xxx
Geekbench AI Score
2069
Single Precision Score
2965
Half Precision Score
6326
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | January 27 2025 05:50 AM |
| Views | 6 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
1946
361.9 IPS |
|
|
Image Classification (Q)
|
99% |
6527
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5782
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
5347
6.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
17608
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
99% |
1878
149.4 IPS |
|
|
Object Detection (Q)
|
86% |
6773
544.3 IPS |
|
|
Face Detection (SP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
7591
90.2 IPS |
|
|
Face Detection (Q)
|
97% |
12452
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2381
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3908
30.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
11079
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11437
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9149
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27157
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3822
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
674
899.2 IPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2797
48.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3054
61.4 IPS |
