HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
1654
Single Precision Score
2600
Half Precision Score
5070
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | lennydevx |
| Upload Date | October 21 2025 03:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook Ultra G1q 14 inch Notebook AI PC |
| Motherboard | HP 8CBE |
| Power Plan | Equilibrado |
| 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% |
590
109.7 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.4 IPS |
|
|
Image Classification (Q)
|
99% |
4017
749.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7619
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5640
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
6073
7.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
6013
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (HP)
|
99% |
2249
178.9 IPS |
|
|
Object Detection (Q)
|
86% |
4999
401.8 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
6497
77.2 IPS |
|
|
Face Detection (Q)
|
97% |
9615
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1982
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3573
27.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
11195
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13008
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
4759
6.12 IPS |
|
|
Style Transfer (Q)
|
98% |
34407
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2451
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
497
662.9 IPS |
|
|
Text Classification (Q)
|
97% |
726
972.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2043
35.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1851
37.2 IPS |
