User | saiht |
Upload Date | August 18 2024 04:11 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3060 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | LENOVO 82JQ |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Legion Balance Mode |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5800H |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4957
921.8 IPS |
|
Image Classification (HP)
|
99% |
8319
1.55 KIPS |
|
Image Classification (Q)
|
100% |
3769
700.9 IPS |
|
Image Segmentation (SP)
|
100% |
7164
116.1 IPS |
|
Image Segmentation (HP)
|
100% |
9927
160.9 IPS |
|
Image Segmentation (Q)
|
98% |
5778
94.0 IPS |
|
Pose Estimation (SP)
|
100% |
61125
71.3 IPS |
|
Pose Estimation (HP)
|
100% |
171897
200.6 IPS |
|
Pose Estimation (Q)
|
97% |
51749
60.6 IPS |
|
Object Detection (SP)
|
100% |
5916
469.3 IPS |
|
Object Detection (HP)
|
100% |
9533
756.1 IPS |
|
Object Detection (Q)
|
89% |
4729
378.7 IPS |
|
Face Detection (SP)
|
100% |
12812
152.2 IPS |
|
Face Detection (HP)
|
100% |
18993
225.7 IPS |
|
Face Detection (Q)
|
97% |
9972
118.9 IPS |
|
Depth Estimation (SP)
|
100% |
28977
223.2 IPS |
|
Depth Estimation (HP)
|
99% |
57029
439.4 IPS |
|
Depth Estimation (Q)
|
74% |
20633
167.8 IPS |
|
Style Transfer (SP)
|
100% |
104860
134.8 IPS |
|
Style Transfer (HP)
|
100% |
272712
350.6 IPS |
|
Style Transfer (Q)
|
98% |
87658
113.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
18877
697.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
31487
1.16 KIPS |
|
Image Super-Resolution (Q)
|
99% |
12885
477.1 IPS |
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
Text Classification (HP)
|
100% |
2479
3.31 KIPS |
|
Text Classification (Q)
|
97% |
1275
1.71 KIPS |
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
Machine Translation (HP)
|
100% |
2466
42.5 IPS |
|
Machine Translation (Q)
|
60% |
1024
22.8 IPS |