User | rgba |
Upload Date | June 13 2025 12:56 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon(TM) Graphics |
System Information | |
---|---|
Operating System | Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
687
127.8 IPS |
|
Image Classification (HP)
|
100% |
692
128.6 IPS |
|
Image Classification (Q)
|
100% |
686
127.6 IPS |
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
Pose Estimation (SP)
|
100% |
6754
7.88 IPS |
|
Pose Estimation (HP)
|
100% |
11111
13.0 IPS |
|
Pose Estimation (Q)
|
96% |
6098
7.14 IPS |
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
Object Detection (HP)
|
100% |
730
57.9 IPS |
|
Object Detection (Q)
|
87% |
711
57.1 IPS |
|
Face Detection (SP)
|
100% |
2385
28.3 IPS |
|
Face Detection (HP)
|
100% |
2373
28.2 IPS |
|
Face Detection (Q)
|
97% |
2196
26.2 IPS |
|
Depth Estimation (SP)
|
100% |
3872
29.8 IPS |
|
Depth Estimation (HP)
|
99% |
4717
36.4 IPS |
|
Depth Estimation (Q)
|
77% |
3414
27.4 IPS |
|
Style Transfer (SP)
|
100% |
11405
14.7 IPS |
|
Style Transfer (HP)
|
100% |
16564
21.3 IPS |
|
Style Transfer (Q)
|
98% |
10110
13.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
2864
105.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
3805
140.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
2173
80.5 IPS |
|
Text Classification (SP)
|
100% |
747
996.5 IPS |
|
Text Classification (HP)
|
100% |
917
1.22 KIPS |
|
Text Classification (Q)
|
97% |
520
696.4 IPS |
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
Machine Translation (Q)
|
70% |
640
12.0 IPS |