User | JustJosh |
Upload Date | October 23 2024 09:04 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | QNN |
Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 83ED |
Motherboard | LENOVO LNVNB161216 |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
719
133.8 IPS |
|
Image Classification (HP)
|
100% |
10865
2.02 KIPS |
|
Image Classification (Q)
|
99% |
17154
3.20 KIPS |
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
Image Segmentation (HP)
|
100% |
7629
123.7 IPS |
|
Image Segmentation (Q)
|
98% |
9219
149.9 IPS |
|
Pose Estimation (SP)
|
100% |
5308
6.19 IPS |
|
Pose Estimation (HP)
|
100% |
70849
82.7 IPS |
|
Pose Estimation (Q)
|
95% |
241431
283.0 IPS |
|
Object Detection (SP)
|
100% |
835
66.2 IPS |
|
Object Detection (HP)
|
100% |
11010
873.3 IPS |
|
Object Detection (Q)
|
82% |
15474
1.25 KIPS |
|
Face Detection (SP)
|
100% |
1811
21.5 IPS |
|
Face Detection (HP)
|
100% |
23043
273.8 IPS |
|
Face Detection (Q)
|
97% |
46051
549.1 IPS |
|
Depth Estimation (SP)
|
100% |
2571
19.8 IPS |
|
Depth Estimation (HP)
|
99% |
42608
328.3 IPS |
|
Depth Estimation (Q)
|
74% |
83968
682.3 IPS |
|
Style Transfer (SP)
|
100% |
14829
19.1 IPS |
|
Style Transfer (HP)
|
23% |
2804
96.5 IPS |
|
Style Transfer (Q)
|
98% |
183812
237.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
2011
74.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
30679
1.13 KIPS |
|
Image Super-Resolution (Q)
|
99% |
44162
1.64 KIPS |
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
Text Classification (HP)
|
100% |
2056
2.74 KIPS |
|
Text Classification (Q)
|
95% |
3519
4.72 KIPS |
|
Machine Translation (SP)
|
100% |
2042
35.2 IPS |
|
Machine Translation (HP)
|
100% |
2815
48.5 IPS |
|
Machine Translation (Q)
|
37% |
385
37.5 IPS |