HP HP OmniBook X Laptop 14-fe0xxx
Geekbench AI Score
1483
Single Precision Score
16580
Half Precision Score
40239
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | dank1 |
| Upload Date | September 12 2025 01:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) 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(R) X Elite - X1E78100 - Qualcomm(R) 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% |
607
112.8 IPS |
|
|
Image Classification (HP)
|
100% |
10636
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
17778
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8220
133.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22295
362.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4164
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
71583
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
245680
288.0 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
11413
905.3 IPS |
|
|
Object Detection (Q)
|
92% |
21459
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
24395
289.9 IPS |
|
|
Face Detection (Q)
|
97% |
66901
797.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2032
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42644
328.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
109221
871.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10364
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54361
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
259609
334.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29739
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64898
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (Q)
|
95% |
4358
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (Q)
|
67% |
9929
193.2 IPS |
