| Upload Date | October 29 2025 03:13 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Core i9-14900KF | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 | 
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 | 
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF | 
| Topology | 1 Processor, 24 Cores, 32 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 3.20 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4550 846.1 IPS | |
| Image Classification (HP) | 100% | 642 119.5 IPS | |
| Image Classification (Q) | 99% | 6963 1.30 KIPS | |
| Image Segmentation (SP) | 100% | 2209 35.8 IPS | |
| Image Segmentation (HP) | 100% | 1110 18.0 IPS | |
| Image Segmentation (Q) | 98% | 13321 216.6 IPS | |
| Pose Estimation (SP) | 100% | 10359 12.1 IPS | |
| Pose Estimation (HP) | 100% | 4587 5.35 IPS | |
| Pose Estimation (Q) | 94% | 31725 37.2 IPS | |
| Object Detection (SP) | 100% | 4180 331.6 IPS | |
| Object Detection (HP) | 100% | 815 64.7 IPS | |
| Object Detection (Q) | 86% | 7994 642.5 IPS | |
| Face Detection (SP) | 100% | 12366 146.9 IPS | |
| Face Detection (HP) | 100% | 1800 21.4 IPS | |
| Face Detection (Q) | 97% | 12237 145.9 IPS | |
| Depth Estimation (SP) | 100% | 12103 93.2 IPS | |
| Depth Estimation (HP) | 99% | 2243 17.3 IPS | |
| Depth Estimation (Q) | 78% | 18088 144.3 IPS | |
| Style Transfer (SP) | 100% | 22538 29.0 IPS | |
| Style Transfer (HP) | 100% | 11446 14.7 IPS | |
| Style Transfer (Q) | 98% | 27304 35.2 IPS | |
| Image Super-Resolution (SP) | 100% | 3560 131.5 IPS | |
| Image Super-Resolution (HP) | 100% | 2123 78.4 IPS | |
| Image Super-Resolution (Q) | 99% | 6663 246.7 IPS | |
| Text Classification (SP) | 100% | 1736 2.32 KIPS | |
| Text Classification (HP) | 100% | 831 1.11 KIPS | |
| Text Classification (Q) | 97% | 1621 2.17 KIPS | |
| Machine Translation (SP) | 100% | 2493 42.9 IPS | |
| Machine Translation (HP) | 100% | 1059 18.2 IPS | |
| Machine Translation (Q) | 65% | 3922 78.8 IPS |