| User | saiht | 
| Upload Date | August 18 2024 04:11 PM | 
| Views | 19 | 
| 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 |