| User | gethen |
| Upload Date | June 12 2025 03:31 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M PG Lightning WiFi |
| Motherboard | ASRock B650M PG Lightning WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9726
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
17533
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8974
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16234
263.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23761
385.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15080
245.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
123817
144.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
393058
458.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
113804
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
12050
955.8 IPS |
|
|
Object Detection (HP)
|
100% |
21607
1.71 KIPS |
|
|
Object Detection (Q)
|
83% |
10277
830.3 IPS |
|
|
Face Detection (SP)
|
100% |
30308
360.1 IPS |
|
|
Face Detection (HP)
|
100% |
50150
595.9 IPS |
|
|
Face Detection (Q)
|
97% |
26378
314.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55093
424.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
114211
879.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
44249
353.2 IPS |
|
|
Style Transfer (SP)
|
100% |
173468
223.0 IPS |
|
|
Style Transfer (HP)
|
100% |
604076
776.5 IPS |
|
|
Style Transfer (Q)
|
98% |
150645
194.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34962
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67638
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27288
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2376
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5514
95.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1957
36.7 IPS |