| User | sftw |
| Upload Date | July 09 2025 06:19 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | Gigabyte Technology Co., Ltd. B850 GAMING WIFI6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5623
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
7525
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
5340
993.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5292
85.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5890
95.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5129
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
103925
121.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
245725
286.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
98029
114.8 IPS |
|
|
Object Detection (SP)
|
100% |
5945
471.6 IPS |
|
|
Object Detection (HP)
|
100% |
7648
606.7 IPS |
|
|
Object Detection (Q)
|
83% |
5429
438.6 IPS |
|
|
Face Detection (SP)
|
100% |
13143
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
15672
186.2 IPS |
|
|
Face Detection (Q)
|
97% |
12291
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42966
331.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71152
548.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
35797
285.7 IPS |
|
|
Style Transfer (SP)
|
100% |
143894
185.0 IPS |
|
|
Style Transfer (HP)
|
100% |
345953
444.7 IPS |
|
|
Style Transfer (Q)
|
98% |
127572
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25008
923.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39238
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20286
751.2 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1002
18.8 IPS |