| User | Cifra45 | 
| Upload Date | April 08 2025 08:38 AM | 
| Views | 5 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3050 | 
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) | 
| Model | Colorful Technology And Development Co.,LTD BATTLE-AX H610M-E WIFI | 
| Motherboard | Colorful Technology And Development Co.,LTD BATTLE-AX H610M-E WIFI | 
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F | 
| Topology | 1 Processor, 4 Cores, 8 Threads | 
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 | 
| Base Frequency | 3.30 GHz | 
| Cluster 1 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4463 829.9 IPS | |
| Image Classification (HP) | 99% | 7724 1.44 KIPS | |
| Image Classification (Q) | 99% | 3544 660.9 IPS | |
| Image Segmentation (SP) | 100% | 7098 115.1 IPS | |
| Image Segmentation (HP) | 100% | 11256 182.5 IPS | |
| Image Segmentation (Q) | 98% | 5729 93.2 IPS | |
| Pose Estimation (SP) | 100% | 48070 56.1 IPS | |
| Pose Estimation (HP) | 100% | 140618 164.1 IPS | |
| Pose Estimation (Q) | 96% | 39881 46.7 IPS | |
| Object Detection (SP) | 100% | 5100 404.6 IPS | |
| Object Detection (HP) | 100% | 10536 835.7 IPS | |
| Object Detection (Q) | 84% | 4008 323.3 IPS | |
| Face Detection (SP) | 100% | 12187 144.8 IPS | |
| Face Detection (HP) | 100% | 19542 232.2 IPS | |
| Face Detection (Q) | 97% | 9146 109.1 IPS | |
| Depth Estimation (SP) | 100% | 24261 186.9 IPS | |
| Depth Estimation (HP) | 99% | 49847 385.1 IPS | |
| Depth Estimation (Q) | 77% | 17327 138.9 IPS | |
| Style Transfer (SP) | 100% | 79746 102.5 IPS | |
| Style Transfer (HP) | 100% | 205106 263.7 IPS | |
| Style Transfer (Q) | 98% | 64334 83.0 IPS | |
| Image Super-Resolution (SP) | 100% | 15075 556.6 IPS | |
| Image Super-Resolution (HP) | 100% | 27659 1.02 KIPS | |
| Image Super-Resolution (Q) | 99% | 9374 347.1 IPS | |
| Text Classification (SP) | 100% | 2410 3.22 KIPS | |
| Text Classification (HP) | 99% | 2988 3.99 KIPS | |
| Text Classification (Q) | 97% | 1106 1.48 KIPS | |
| Machine Translation (SP) | 100% | 3303 56.9 IPS | |
| Machine Translation (HP) | 100% | 3372 58.1 IPS | |
| Machine Translation (Q) | 70% | 1225 23.0 IPS |