| User | UzziPA |
| Upload Date | March 14 2026 04:28 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6008
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5551
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
5039
937.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8839
143.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7070
114.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7492
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
72036
84.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123411
144.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61489
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
5414
429.4 IPS |
|
|
Object Detection (HP)
|
100% |
6783
538.0 IPS |
|
|
Object Detection (Q)
|
87% |
4726
379.5 IPS |
|
|
Face Detection (SP)
|
100% |
17370
206.4 IPS |
|
|
Face Detection (HP)
|
100% |
20910
248.5 IPS |
|
|
Face Detection (Q)
|
97% |
14173
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34509
265.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41014
316.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
26369
211.8 IPS |
|
|
Style Transfer (SP)
|
100% |
147974
190.2 IPS |
|
|
Style Transfer (HP)
|
100% |
193065
248.2 IPS |
|
|
Style Transfer (Q)
|
98% |
121412
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24324
898.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29605
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16793
621.8 IPS |
|
|
Text Classification (SP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1163
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1471
27.6 IPS |