HP HP OmniBook X Laptop 14-fe0xxx
Geekbench AI Score
1819
Single Precision Score
16069
Half Precision Score
37778
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | Nickayz |
| Upload Date | March 13 2026 09:10 AM |
| Views | 8 |
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 Pro (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% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
10150
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
16834
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8124
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21565
350.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
70615
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
245335
287.6 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
100% |
11073
878.3 IPS |
|
|
Object Detection (Q)
|
92% |
20269
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
24013
285.3 IPS |
|
|
Face Detection (Q)
|
97% |
67001
799.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2115
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42602
328.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
103616
827.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16886
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54142
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
253894
327.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28491
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57738
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (Q)
|
95% |
3566
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (Q)
|
67% |
9040
175.9 IPS |
