HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
2222
Single Precision Score
15849
Half Precision Score
35580
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | drodriguezwpb |
| Upload Date | May 16 2025 09:24 PM |
| Views | 12 |
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% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
10491
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
17493
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8114
131.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17038
277.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
70903
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
245113
287.3 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
10837
859.6 IPS |
|
|
Object Detection (Q)
|
92% |
20096
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
1965
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
23839
283.3 IPS |
|
|
Face Detection (Q)
|
97% |
59055
704.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2593
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42138
324.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
105511
842.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17087
22.0 IPS |
|
|
Style Transfer (HP)
|
98% |
57541
74.2 IPS |
|
|
Style Transfer (Q)
|
98% |
262906
339.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29223
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64276
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (Q)
|
95% |
3497
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (Q)
|
67% |
6016
117.1 IPS |
