HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
2086
Single Precision Score
1697
Half Precision Score
5706
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | September 11 2024 09:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(TM) X Elite - X1E78100 - Qualcomm(TM) 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(TM) X Elite - X1E78100 - Qualcomm(TM) 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% |
748
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
3937
734.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2370
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6694
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
8051
9.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
23823
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
99% |
652
51.9 IPS |
|
|
Object Detection (Q)
|
88% |
4279
343.0 IPS |
|
|
Face Detection (SP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
6283
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2618
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2373
18.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
12901
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15147
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10866
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35101
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3912
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.9 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1847
31.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2750
61.3 IPS |
