| User | oouc |
| Upload Date | December 07 2025 07:03 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7071
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
10405
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
6692
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8671
140.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10403
168.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8279
134.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
115325
134.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
314111
366.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
107800
126.3 IPS |
|
|
Object Detection (SP)
|
100% |
8182
649.0 IPS |
|
|
Object Detection (HP)
|
100% |
11505
912.6 IPS |
|
|
Object Detection (Q)
|
83% |
7305
590.2 IPS |
|
|
Face Detection (SP)
|
100% |
19103
227.0 IPS |
|
|
Face Detection (HP)
|
100% |
25452
302.4 IPS |
|
|
Face Detection (Q)
|
97% |
17622
210.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49329
380.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
92283
711.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
40794
325.6 IPS |
|
|
Style Transfer (SP)
|
100% |
161665
207.8 IPS |
|
|
Style Transfer (HP)
|
100% |
446289
573.7 IPS |
|
|
Style Transfer (Q)
|
98% |
140147
180.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28063
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46618
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22158
820.5 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2630
45.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1414
26.5 IPS |