| User | kripo | 
| Upload Date | March 06 2025 05:55 AM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3060 Ti | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE | 
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE | 
| Power Plan | AMD Ryzen Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 | 
| Base Frequency | 3.60 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 24.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 7268 1.35 KIPS | |
| Image Classification (HP) | 99% | 11044 2.06 KIPS | |
| Image Classification (Q) | 100% | 5408 1.01 KIPS | |
| Image Segmentation (SP) | 100% | 9856 159.8 IPS | |
| Image Segmentation (HP) | 100% | 13467 218.3 IPS | |
| Image Segmentation (Q) | 98% | 8123 132.1 IPS | |
| Pose Estimation (SP) | 100% | 98359 114.8 IPS | |
| Pose Estimation (HP) | 100% | 262763 306.6 IPS | |
| Pose Estimation (Q) | 96% | 79091 92.7 IPS | |
| Object Detection (SP) | 100% | 8709 690.8 IPS | |
| Object Detection (HP) | 100% | 13792 1.09 KIPS | |
| Object Detection (Q) | 85% | 6683 538.0 IPS | |
| Face Detection (SP) | 100% | 19154 227.6 IPS | |
| Face Detection (HP) | 100% | 28451 338.1 IPS | |
| Face Detection (Q) | 97% | 15111 180.2 IPS | |
| Depth Estimation (SP) | 100% | 45419 349.9 IPS | |
| Depth Estimation (HP) | 99% | 80459 619.9 IPS | |
| Depth Estimation (Q) | 77% | 29965 239.9 IPS | |
| Style Transfer (SP) | 100% | 156057 200.6 IPS | |
| Style Transfer (HP) | 100% | 378964 487.2 IPS | |
| Style Transfer (Q) | 98% | 123872 159.7 IPS | |
| Image Super-Resolution (SP) | 100% | 29155 1.08 KIPS | |
| Image Super-Resolution (HP) | 100% | 40417 1.49 KIPS | |
| Image Super-Resolution (Q) | 99% | 17199 636.9 IPS | |
| Text Classification (SP) | 100% | 2557 3.41 KIPS | |
| Text Classification (HP) | 99% | 3556 4.75 KIPS | |
| Text Classification (Q) | 97% | 1318 1.77 KIPS | |
| Machine Translation (SP) | 100% | 3252 56.0 IPS | |
| Machine Translation (HP) | 100% | 3242 55.8 IPS | |
| Machine Translation (Q) | 70% | 1367 25.6 IPS |