| User | jessefreeman | 
| Upload Date | September 27 2024 12:10 PM | 
| Views | 17 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3060 Laptop GPU | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503RM_GA503RM | 
| Motherboard | ASUSTeK COMPUTER INC. GA503RM | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HS | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 | 
| Base Frequency | 3.30 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5194 965.9 IPS | |
| Image Classification (HP) | 99% | 8988 1.68 KIPS | |
| Image Classification (Q) | 100% | 4002 744.3 IPS | |
| Image Segmentation (SP) | 100% | 8126 131.7 IPS | |
| Image Segmentation (HP) | 100% | 12253 198.6 IPS | |
| Image Segmentation (Q) | 98% | 6729 109.4 IPS | |
| Pose Estimation (SP) | 100% | 67164 78.4 IPS | |
| Pose Estimation (HP) | 100% | 175360 204.6 IPS | |
| Pose Estimation (Q) | 97% | 56107 65.7 IPS | |
| Object Detection (SP) | 100% | 6502 515.8 IPS | |
| Object Detection (HP) | 100% | 11136 883.3 IPS | |
| Object Detection (Q) | 89% | 5022 402.2 IPS | |
| Face Detection (SP) | 100% | 13772 163.6 IPS | |
| Face Detection (HP) | 100% | 21819 259.3 IPS | |
| Face Detection (Q) | 97% | 10624 126.7 IPS | |
| Depth Estimation (SP) | 100% | 31569 243.2 IPS | |
| Depth Estimation (HP) | 99% | 61420 473.2 IPS | |
| Depth Estimation (Q) | 71% | 20671 171.7 IPS | |
| Style Transfer (SP) | 100% | 113920 146.4 IPS | |
| Style Transfer (HP) | 100% | 296871 381.6 IPS | |
| Style Transfer (Q) | 98% | 92926 119.8 IPS | |
| Image Super-Resolution (SP) | 100% | 20459 755.5 IPS | |
| Image Super-Resolution (HP) | 100% | 32603 1.20 KIPS | |
| Image Super-Resolution (Q) | 99% | 13011 481.8 IPS | |
| Text Classification (SP) | 100% | 2294 3.06 KIPS | |
| Text Classification (HP) | 99% | 2857 3.81 KIPS | |
| Text Classification (Q) | 97% | 1250 1.67 KIPS | |
| Machine Translation (SP) | 100% | 2884 49.7 IPS | |
| Machine Translation (HP) | 100% | 2975 51.2 IPS | |
| Machine Translation (Q) | 60% | 1086 24.2 IPS |