Upload Date | April 04 2025 01:27 PM |
Views | 3 |
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% |
3143
584.5 IPS |
|
Image Classification (HP)
|
100% |
3511
652.9 IPS |
|
Image Classification (Q)
|
100% |
2572
478.2 IPS |
|
Image Segmentation (SP)
|
100% |
3839
62.2 IPS |
|
Image Segmentation (HP)
|
100% |
3955
64.1 IPS |
|
Image Segmentation (Q)
|
98% |
3221
52.4 IPS |
|
Pose Estimation (SP)
|
100% |
49513
57.8 IPS |
|
Pose Estimation (HP)
|
100% |
54028
63.0 IPS |
|
Pose Estimation (Q)
|
96% |
41162
48.2 IPS |
|
Object Detection (SP)
|
100% |
3620
287.1 IPS |
|
Object Detection (HP)
|
100% |
3476
275.7 IPS |
|
Object Detection (Q)
|
88% |
2965
237.8 IPS |
|
Face Detection (SP)
|
100% |
9802
116.5 IPS |
|
Face Detection (HP)
|
100% |
11922
141.7 IPS |
|
Face Detection (Q)
|
97% |
7693
91.7 IPS |
|
Depth Estimation (SP)
|
100% |
19532
150.5 IPS |
|
Depth Estimation (HP)
|
99% |
21044
162.6 IPS |
|
Depth Estimation (Q)
|
77% |
13995
112.2 IPS |
|
Style Transfer (SP)
|
100% |
84083
108.1 IPS |
|
Style Transfer (HP)
|
100% |
89364
114.9 IPS |
|
Style Transfer (Q)
|
98% |
64525
83.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
12625
466.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
12936
477.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
7872
291.5 IPS |
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
Text Classification (Q)
|
97% |
692
927.2 IPS |
|
Machine Translation (SP)
|
100% |
1810
31.2 IPS |
|
Machine Translation (HP)
|
96% |
1773
30.7 IPS |
|
Machine Translation (Q)
|
70% |
855
16.0 IPS |