HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
1807
Single Precision Score
2898
Half Precision Score
6108
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:33 AM |
| Views | 3 |
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 | 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% |
718
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
2697
501.5 IPS |
|
|
Image Classification (Q)
|
99% |
4129
770.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3365
54.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8129
132.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6681
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
9752
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
21103
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
99% |
2370
188.6 IPS |
|
|
Object Detection (Q)
|
86% |
5172
415.7 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
6706
79.7 IPS |
|
|
Face Detection (Q)
|
97% |
10193
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2037
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3691
28.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
13485
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17210
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6523
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
38396
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2492
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.6 IPS |
|
|
Text Classification (Q)
|
97% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1897
32.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1967
39.5 IPS |
