| User | AdamOp |
| Upload Date | May 21 2025 07:51 PM |
| Views | 13 |
| 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 | 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
99% |
7162
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2312
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6566
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
7637
8.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
23990
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (HP)
|
99% |
2613
207.8 IPS |
|
|
Object Detection (Q)
|
86% |
6899
554.4 IPS |
|
|
Face Detection (SP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (Q)
|
97% |
12271
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2464
19.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3885
30.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
11804
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14461
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11257
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33970
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3768
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.2 IPS |
|
|
Text Classification (Q)
|
97% |
1238
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (HP)
|
99% |
3045
52.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3591
72.2 IPS |