HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
1851
Single Precision Score
16100
Half Precision Score
38479
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | drodriguezwpb |
| Upload Date | October 07 2025 08:25 PM |
| 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 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% |
652
121.2 IPS |
|
|
Image Classification (HP)
|
100% |
10080
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
16396
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8134
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22006
357.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6632
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
71149
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
245436
287.7 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
11169
885.9 IPS |
|
|
Object Detection (Q)
|
92% |
20089
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
23935
284.4 IPS |
|
|
Face Detection (Q)
|
97% |
67561
805.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2182
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41698
321.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
102960
821.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16467
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53618
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
254488
328.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29323
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60802
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
95% |
3830
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (Q)
|
67% |
9704
188.9 IPS |
