User | szabolcsmate |
Upload Date | January 31 2025 06:01 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3060 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Home (64-bit) |
Model | LENOVO 82K2 |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 5 5600H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 3.30 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5284
982.6 IPS |
|
Image Classification (HP)
|
99% |
8411
1.57 KIPS |
|
Image Classification (Q)
|
99% |
4045
754.5 IPS |
|
Image Segmentation (SP)
|
100% |
7021
113.8 IPS |
|
Image Segmentation (HP)
|
100% |
9817
159.1 IPS |
|
Image Segmentation (Q)
|
98% |
5873
95.5 IPS |
|
Pose Estimation (SP)
|
100% |
62559
73.0 IPS |
|
Pose Estimation (HP)
|
100% |
172846
201.7 IPS |
|
Pose Estimation (Q)
|
96% |
52782
61.8 IPS |
|
Object Detection (SP)
|
100% |
6200
491.8 IPS |
|
Object Detection (HP)
|
100% |
10633
843.4 IPS |
|
Object Detection (Q)
|
85% |
4622
372.1 IPS |
|
Face Detection (SP)
|
100% |
13381
159.0 IPS |
|
Face Detection (HP)
|
100% |
19974
237.3 IPS |
|
Face Detection (Q)
|
97% |
10992
131.1 IPS |
|
Depth Estimation (SP)
|
100% |
31527
242.9 IPS |
|
Depth Estimation (HP)
|
99% |
59880
462.6 IPS |
|
Depth Estimation (Q)
|
77% |
21918
175.4 IPS |
|
Style Transfer (SP)
|
100% |
108252
139.2 IPS |
|
Style Transfer (HP)
|
100% |
283305
364.2 IPS |
|
Style Transfer (Q)
|
98% |
86822
112.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
19147
707.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
31660
1.17 KIPS |
|
Image Super-Resolution (Q)
|
99% |
12467
461.7 IPS |
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
Text Classification (HP)
|
99% |
2689
3.59 KIPS |
|
Text Classification (Q)
|
97% |
1167
1.56 KIPS |
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
Machine Translation (HP)
|
100% |
2417
41.6 IPS |
|
Machine Translation (Q)
|
70% |
1125
21.1 IPS |