User | danm1988 |
Upload Date | August 06 2025 12:54 AM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 9070 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
Model | B650D4U-2L2T/BCM |
Motherboard | ASRockRack B650D4U-2L2T/BCM |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | AMD EPYC 4584PX 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 192.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
16720
3.11 KIPS |
|
Image Classification (HP)
|
100% |
18855
3.51 KIPS |
|
Image Classification (Q)
|
99% |
15866
2.96 KIPS |
|
Image Segmentation (SP)
|
100% |
20465
331.8 IPS |
|
Image Segmentation (HP)
|
100% |
23884
387.2 IPS |
|
Image Segmentation (Q)
|
98% |
26508
431.0 IPS |
|
Pose Estimation (SP)
|
100% |
231818
270.5 IPS |
|
Pose Estimation (HP)
|
100% |
694827
810.7 IPS |
|
Pose Estimation (Q)
|
96% |
209472
245.4 IPS |
|
Object Detection (SP)
|
100% |
16244
1.29 KIPS |
|
Object Detection (HP)
|
99% |
21795
1.73 KIPS |
|
Object Detection (Q)
|
87% |
15238
1.22 KIPS |
|
Face Detection (SP)
|
100% |
56661
673.3 IPS |
|
Face Detection (HP)
|
100% |
62371
741.1 IPS |
|
Face Detection (Q)
|
97% |
50136
597.8 IPS |
|
Depth Estimation (SP)
|
100% |
89881
692.5 IPS |
|
Depth Estimation (HP)
|
99% |
134706
1.04 KIPS |
|
Depth Estimation (Q)
|
77% |
75100
601.8 IPS |
|
Style Transfer (SP)
|
100% |
424893
546.2 IPS |
|
Style Transfer (HP)
|
100% |
761877
979.4 IPS |
|
Style Transfer (Q)
|
98% |
388019
500.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
54818
2.02 KIPS |
|
Image Super-Resolution (HP)
|
100% |
87225
3.22 KIPS |
|
Image Super-Resolution (Q)
|
99% |
45041
1.67 KIPS |
|
Text Classification (SP)
|
100% |
4738
6.32 KIPS |
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
Text Classification (Q)
|
97% |
3382
4.53 KIPS |
|
Machine Translation (SP)
|
100% |
7044
121.3 IPS |
|
Machine Translation (HP)
|
100% |
7260
125.1 IPS |
|
Machine Translation (Q)
|
70% |
4255
79.8 IPS |