HP HP EliteBook Ultra G1q 14 inch Notebook AI PC
Geekbench AI Score
2083
Single Precision Score
1603
Half Precision Score
5637
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | September 11 2024 09:33 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% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
99% |
4036
752.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2299
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6715
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4956
5.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
24053
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
99% |
555
44.2 IPS |
|
|
Object Detection (Q)
|
88% |
4178
334.9 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
6253
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2618
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2321
17.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
12717
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15467
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11008
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35406
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2363
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3824
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
457
610.3 IPS |
|
|
Text Classification (Q)
|
97% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1861
32.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2756
61.5 IPS |
