Upload Date | April 04 2025 01:22 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% |
3127
581.5 IPS |
|
Image Classification (HP)
|
100% |
3511
653.0 IPS |
|
Image Classification (Q)
|
100% |
2576
479.1 IPS |
|
Image Segmentation (SP)
|
100% |
3838
62.2 IPS |
|
Image Segmentation (HP)
|
100% |
4032
65.4 IPS |
|
Image Segmentation (Q)
|
98% |
3222
52.4 IPS |
|
Pose Estimation (SP)
|
100% |
46237
54.0 IPS |
|
Pose Estimation (HP)
|
100% |
50399
58.8 IPS |
|
Pose Estimation (Q)
|
96% |
38564
45.2 IPS |
|
Object Detection (SP)
|
100% |
3620
287.2 IPS |
|
Object Detection (HP)
|
100% |
3392
269.0 IPS |
|
Object Detection (Q)
|
88% |
2964
237.7 IPS |
|
Face Detection (SP)
|
100% |
9857
117.1 IPS |
|
Face Detection (HP)
|
100% |
11985
142.4 IPS |
|
Face Detection (Q)
|
97% |
7693
91.7 IPS |
|
Depth Estimation (SP)
|
100% |
19488
150.1 IPS |
|
Depth Estimation (HP)
|
99% |
20842
161.0 IPS |
|
Depth Estimation (Q)
|
77% |
13920
111.6 IPS |
|
Style Transfer (SP)
|
100% |
76838
98.8 IPS |
|
Style Transfer (HP)
|
100% |
89315
114.8 IPS |
|
Style Transfer (Q)
|
98% |
64352
83.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
12533
462.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
13267
489.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
7866
291.3 IPS |
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
Text Classification (Q)
|
97% |
688
922.2 IPS |
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
Machine Translation (HP)
|
96% |
1783
30.8 IPS |
|
Machine Translation (Q)
|
70% |
859
16.1 IPS |