Upload Date | April 04 2025 01:25 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Radeon RX 580 Series |
System Information | |
---|---|
Operating System | Windows 10 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5700X |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.40 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 48.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3140
584.0 IPS |
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
Image Classification (Q)
|
100% |
2571
478.2 IPS |
|
Image Segmentation (SP)
|
100% |
3797
61.6 IPS |
|
Image Segmentation (HP)
|
100% |
3963
64.2 IPS |
|
Image Segmentation (Q)
|
98% |
3153
51.3 IPS |
|
Pose Estimation (SP)
|
100% |
37368
43.6 IPS |
|
Pose Estimation (HP)
|
100% |
43686
51.0 IPS |
|
Pose Estimation (Q)
|
96% |
31791
37.2 IPS |
|
Object Detection (SP)
|
100% |
3547
281.3 IPS |
|
Object Detection (HP)
|
100% |
3164
250.9 IPS |
|
Object Detection (Q)
|
88% |
2886
231.4 IPS |
|
Face Detection (SP)
|
100% |
9767
116.1 IPS |
|
Face Detection (HP)
|
100% |
11842
140.7 IPS |
|
Face Detection (Q)
|
97% |
7655
91.3 IPS |
|
Depth Estimation (SP)
|
100% |
17545
135.2 IPS |
|
Depth Estimation (HP)
|
99% |
18596
143.7 IPS |
|
Depth Estimation (Q)
|
77% |
13081
104.9 IPS |
|
Style Transfer (SP)
|
100% |
62615
80.5 IPS |
|
Style Transfer (HP)
|
100% |
79617
102.3 IPS |
|
Style Transfer (Q)
|
98% |
49805
64.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
12497
461.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
13052
481.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
7838
290.2 IPS |
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
Text Classification (HP)
|
100% |
977
1.30 KIPS |
|
Text Classification (Q)
|
97% |
691
925.4 IPS |
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
Machine Translation (HP)
|
96% |
1775
30.7 IPS |
|
Machine Translation (Q)
|
70% |
856
16.1 IPS |