Upload Date | April 23 2025 02:25 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5060 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASRock B650M Pro RS |
Motherboard | ASRock B650M Pro RS |
Power Plan | AMD Ryzen Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 5 7600 |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 3.80 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8915
1.66 KIPS |
|
Image Classification (HP)
|
100% |
15989
2.97 KIPS |
|
Image Classification (Q)
|
100% |
8273
1.54 KIPS |
|
Image Segmentation (SP)
|
100% |
14067
228.0 IPS |
|
Image Segmentation (HP)
|
100% |
19843
321.7 IPS |
|
Image Segmentation (Q)
|
98% |
13199
214.6 IPS |
|
Pose Estimation (SP)
|
100% |
116912
136.4 IPS |
|
Pose Estimation (HP)
|
100% |
359046
418.9 IPS |
|
Pose Estimation (Q)
|
96% |
107983
126.5 IPS |
|
Object Detection (SP)
|
100% |
10730
851.1 IPS |
|
Object Detection (HP)
|
100% |
18634
1.48 KIPS |
|
Object Detection (Q)
|
83% |
9330
753.8 IPS |
|
Face Detection (SP)
|
100% |
27405
325.6 IPS |
|
Face Detection (HP)
|
100% |
42891
509.6 IPS |
|
Face Detection (Q)
|
97% |
24178
288.3 IPS |
|
Depth Estimation (SP)
|
100% |
52043
401.0 IPS |
|
Depth Estimation (HP)
|
99% |
105353
811.7 IPS |
|
Depth Estimation (Q)
|
78% |
42074
335.8 IPS |
|
Style Transfer (SP)
|
100% |
164691
211.7 IPS |
|
Style Transfer (HP)
|
100% |
552446
710.2 IPS |
|
Style Transfer (Q)
|
98% |
143148
184.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
32317
1.19 KIPS |
|
Image Super-Resolution (HP)
|
100% |
60236
2.22 KIPS |
|
Image Super-Resolution (Q)
|
99% |
24061
890.9 IPS |
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
Text Classification (HP)
|
100% |
4518
6.03 KIPS |
|
Text Classification (Q)
|
97% |
2229
2.99 KIPS |
|
Machine Translation (SP)
|
100% |
4274
73.6 IPS |
|
Machine Translation (HP)
|
100% |
4665
80.4 IPS |
|
Machine Translation (Q)
|
70% |
1826
34.2 IPS |