| Upload Date | December 05 2025 06:26 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
713
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (Q)
|
99% |
4131
770.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3359
54.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8021
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6290
7.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
21080
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
99% |
2248
178.9 IPS |
|
|
Object Detection (Q)
|
86% |
4705
378.2 IPS |
|
|
Face Detection (SP)
|
100% |
1692
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
6493
77.1 IPS |
|
|
Face Detection (Q)
|
97% |
10277
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2042
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3678
28.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
13165
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16839
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11533
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38706
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
490
654.2 IPS |
|
|
Text Classification (Q)
|
97% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1919
33.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1831
36.8 IPS |