HP HP OmniBook X Laptop 14-fe0xxx
Geekbench AI Score
2094
Single Precision Score
1687
Half Precision Score
5389
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | giantpopples |
| Upload Date | November 30 2024 12:21 PM |
| Views | 5 |
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 Famille (64-bit) |
| Model | HP HP OmniBook X Laptop 14-fe0xxx |
| Motherboard | HP 8CBE |
| Power Plan | Utilisation normale |
| 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% |
736
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
3758
701.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2350
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
7729
9.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
23065
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.1 IPS |
|
|
Object Detection (HP)
|
99% |
643
51.1 IPS |
|
|
Object Detection (Q)
|
88% |
4009
321.3 IPS |
|
|
Face Detection (SP)
|
100% |
1809
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
6160
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2504
19.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2395
18.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
9561
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15331
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11040
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34918
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3837
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
446
594.9 IPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1771
30.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2617
58.4 IPS |
