HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
1668
Single Precision Score
2609
Half Precision Score
5841
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 26 2025 11:49 AM |
| Views | 6 |
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% |
611
113.6 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.2 IPS |
|
|
Image Classification (Q)
|
99% |
4033
752.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
3060
49.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7945
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5796
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6689
7.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
18635
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
99% |
1012
80.5 IPS |
|
|
Object Detection (Q)
|
86% |
4906
394.3 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (Q)
|
97% |
9579
114.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1866
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3592
27.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
13017
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15303
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10641
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36655
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2353
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.5 IPS |
|
|
Text Classification (Q)
|
97% |
709
949.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1824
31.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2070
41.6 IPS |
