| User | TechnoCat |
| Upload Date | November 13 2024 06:01 PM |
| Views | 16 |
| 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 21N1000EIV |
| Motherboard | LENOVO 21N1000EIV |
| 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% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
10976
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17322
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7620
123.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9408
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
70157
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
240970
282.4 IPS |
|
|
Object Detection (SP)
|
100% |
936
74.2 IPS |
|
|
Object Detection (HP)
|
100% |
10908
865.2 IPS |
|
|
Object Detection (Q)
|
82% |
15443
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
22835
271.3 IPS |
|
|
Face Detection (Q)
|
97% |
45472
542.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2675
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42072
324.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
84827
689.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16827
21.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2774
95.5 IPS |
|
|
Style Transfer (Q)
|
98% |
182994
236.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29097
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44423
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (Q)
|
95% |
3581
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2836
48.9 IPS |
|
|
Machine Translation (Q)
|
37% |
379
36.9 IPS |