HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
2125
Single Precision Score
1746
Half Precision Score
5697
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | September 11 2024 09:11 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% |
739
137.5 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
4058
756.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2425
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6621
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
9539
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24481
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (HP)
|
99% |
660
52.5 IPS |
|
|
Object Detection (Q)
|
88% |
4250
340.6 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
6380
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2634
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2485
19.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
12924
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15229
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10986
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35314
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1840
31.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2659
59.3 IPS |
