User | drive5600x |
Upload Date | March 28 2025 09:19 PM |
Views | 10 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 6950 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D 8-Core Processor |
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% |
14145
2.63 KIPS |
|
Image Classification (HP)
|
100% |
13477
2.51 KIPS |
|
Image Classification (Q)
|
99% |
11012
2.05 KIPS |
|
Image Segmentation (SP)
|
100% |
23536
381.5 IPS |
|
Image Segmentation (HP)
|
100% |
18828
305.2 IPS |
|
Image Segmentation (Q)
|
98% |
19180
311.9 IPS |
|
Pose Estimation (SP)
|
100% |
202695
236.5 IPS |
|
Pose Estimation (HP)
|
100% |
316304
369.1 IPS |
|
Pose Estimation (Q)
|
96% |
166767
195.4 IPS |
|
Object Detection (SP)
|
100% |
15446
1.23 KIPS |
|
Object Detection (HP)
|
100% |
15402
1.22 KIPS |
|
Object Detection (Q)
|
87% |
12578
1.01 KIPS |
|
Face Detection (SP)
|
100% |
44194
525.1 IPS |
|
Face Detection (HP)
|
100% |
49133
583.8 IPS |
|
Face Detection (Q)
|
97% |
34607
412.6 IPS |
|
Depth Estimation (SP)
|
100% |
75934
585.0 IPS |
|
Depth Estimation (HP)
|
99% |
82640
636.7 IPS |
|
Depth Estimation (Q)
|
76% |
56831
456.4 IPS |
|
Style Transfer (SP)
|
100% |
367328
472.2 IPS |
|
Style Transfer (HP)
|
100% |
511850
658.0 IPS |
|
Style Transfer (Q)
|
98% |
297476
383.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
44907
1.66 KIPS |
|
Image Super-Resolution (HP)
|
100% |
53841
1.99 KIPS |
|
Image Super-Resolution (Q)
|
99% |
32309
1.20 KIPS |
|
Text Classification (SP)
|
100% |
4491
5.99 KIPS |
|
Text Classification (HP)
|
100% |
4839
6.46 KIPS |
|
Text Classification (Q)
|
97% |
2877
3.85 KIPS |
|
Machine Translation (SP)
|
100% |
6459
111.3 IPS |
|
Machine Translation (HP)
|
100% |
6690
115.2 IPS |
|
Machine Translation (Q)
|
70% |
3445
64.6 IPS |