Upload Date | February 28 2025 12:54 PM |
Views | 16 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 9070 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
Power Plan | Performances leves |
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 | 48.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
16137
3.00 KIPS |
|
Image Classification (HP)
|
100% |
18583
3.46 KIPS |
|
Image Classification (Q)
|
99% |
15132
2.82 KIPS |
|
Image Segmentation (SP)
|
100% |
15301
248.0 IPS |
|
Image Segmentation (HP)
|
100% |
17695
286.8 IPS |
|
Image Segmentation (Q)
|
98% |
18738
304.7 IPS |
|
Pose Estimation (SP)
|
100% |
216033
252.1 IPS |
|
Pose Estimation (HP)
|
100% |
622450
726.3 IPS |
|
Pose Estimation (Q)
|
96% |
195645
229.2 IPS |
|
Object Detection (SP)
|
100% |
17394
1.38 KIPS |
|
Object Detection (HP)
|
99% |
20984
1.66 KIPS |
|
Object Detection (Q)
|
87% |
16407
1.32 KIPS |
|
Face Detection (SP)
|
100% |
46309
550.3 IPS |
|
Face Detection (HP)
|
100% |
51487
611.8 IPS |
|
Face Detection (Q)
|
97% |
42602
508.0 IPS |
|
Depth Estimation (SP)
|
100% |
89296
688.0 IPS |
|
Depth Estimation (HP)
|
99% |
131747
1.02 KIPS |
|
Depth Estimation (Q)
|
77% |
73734
590.9 IPS |
|
Style Transfer (SP)
|
100% |
404785
520.4 IPS |
|
Style Transfer (HP)
|
100% |
724651
931.5 IPS |
|
Style Transfer (Q)
|
98% |
364083
469.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
54649
2.02 KIPS |
|
Image Super-Resolution (HP)
|
100% |
89000
3.29 KIPS |
|
Image Super-Resolution (Q)
|
99% |
45261
1.68 KIPS |
|
Text Classification (SP)
|
100% |
5119
6.83 KIPS |
|
Text Classification (HP)
|
100% |
5432
7.25 KIPS |
|
Text Classification (Q)
|
97% |
3530
4.73 KIPS |
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
Machine Translation (HP)
|
100% |
5415
93.3 IPS |
|
Machine Translation (Q)
|
70% |
3487
65.4 IPS |