Upload Date | June 18 2025 03:46 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 6750 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII FORMULA |
Power Plan | Driver Booster Power Plan |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5900XT 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 4.23 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9728
1.81 KIPS |
|
Image Classification (HP)
|
100% |
9531
1.77 KIPS |
|
Image Classification (Q)
|
100% |
8217
1.53 KIPS |
|
Image Segmentation (SP)
|
100% |
15979
259.0 IPS |
|
Image Segmentation (HP)
|
100% |
12215
198.0 IPS |
|
Image Segmentation (Q)
|
98% |
12885
209.5 IPS |
|
Pose Estimation (SP)
|
100% |
116565
136.0 IPS |
|
Pose Estimation (HP)
|
100% |
193631
225.9 IPS |
|
Pose Estimation (Q)
|
96% |
95539
111.9 IPS |
|
Object Detection (SP)
|
100% |
10392
824.3 IPS |
|
Object Detection (HP)
|
100% |
8962
710.9 IPS |
|
Object Detection (Q)
|
87% |
8657
695.3 IPS |
|
Face Detection (SP)
|
100% |
28984
344.4 IPS |
|
Face Detection (HP)
|
100% |
33816
401.8 IPS |
|
Face Detection (Q)
|
97% |
22944
273.6 IPS |
|
Depth Estimation (SP)
|
100% |
47426
365.4 IPS |
|
Depth Estimation (HP)
|
99% |
61272
472.1 IPS |
|
Depth Estimation (Q)
|
76% |
36314
291.6 IPS |
|
Style Transfer (SP)
|
100% |
218944
281.5 IPS |
|
Style Transfer (HP)
|
100% |
285809
367.4 IPS |
|
Style Transfer (Q)
|
98% |
175937
226.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
36361
1.34 KIPS |
|
Image Super-Resolution (HP)
|
100% |
40935
1.51 KIPS |
|
Image Super-Resolution (Q)
|
99% |
25268
935.6 IPS |
|
Text Classification (SP)
|
100% |
2506
3.34 KIPS |
|
Text Classification (HP)
|
100% |
3247
4.33 KIPS |
|
Text Classification (Q)
|
97% |
1776
2.38 KIPS |
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
Machine Translation (HP)
|
100% |
5506
94.8 IPS |
|
Machine Translation (Q)
|
70% |
2829
53.1 IPS |