HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
2028
Single Precision Score
3115
Half Precision Score
6437
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 05:51 PM |
| Views | 7 |
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 Enterprise (64-bit) |
| Model | HP HP EliteBook Ultra G1q 14 inch Notebook AI PC |
| Motherboard | HP 8CBE |
| Power Plan | Balanceret |
| 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% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
3117
579.7 IPS |
|
|
Image Classification (Q)
|
99% |
7183
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2039
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
8558
9.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
20263
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
839
66.5 IPS |
|
|
Object Detection (HP)
|
99% |
2633
209.5 IPS |
|
|
Object Detection (Q)
|
86% |
6214
499.4 IPS |
|
|
Face Detection (SP)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
5821
69.2 IPS |
|
|
Face Detection (Q)
|
97% |
11720
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2406
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3211
24.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
10743
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15244
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10083
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34373
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3734
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.0 IPS |
|
|
Text Classification (Q)
|
97% |
1248
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2835
49.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3284
66.0 IPS |
