Upload Date | July 09 2025 08:42 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 9070 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D |
Topology | 1 Processor, 8 Cores |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
17202
3.20 KIPS |
|
Image Classification (HP)
|
100% |
19803
3.68 KIPS |
|
Image Classification (Q)
|
99% |
16128
3.01 KIPS |
|
Image Segmentation (SP)
|
100% |
21317
345.6 IPS |
|
Image Segmentation (HP)
|
100% |
25207
408.6 IPS |
|
Image Segmentation (Q)
|
98% |
28410
462.0 IPS |
|
Pose Estimation (SP)
|
100% |
222681
259.8 IPS |
|
Pose Estimation (HP)
|
100% |
681684
795.4 IPS |
|
Pose Estimation (Q)
|
96% |
200198
234.5 IPS |
|
Object Detection (SP)
|
100% |
19222
1.52 KIPS |
|
Object Detection (HP)
|
99% |
23097
1.83 KIPS |
|
Object Detection (Q)
|
87% |
17664
1.42 KIPS |
|
Face Detection (SP)
|
100% |
59935
712.2 IPS |
|
Face Detection (HP)
|
100% |
72575
862.3 IPS |
|
Face Detection (Q)
|
97% |
52934
631.1 IPS |
|
Depth Estimation (SP)
|
100% |
89528
689.8 IPS |
|
Depth Estimation (HP)
|
99% |
130690
1.01 KIPS |
|
Depth Estimation (Q)
|
77% |
74998
601.0 IPS |
|
Style Transfer (SP)
|
100% |
408814
525.5 IPS |
|
Style Transfer (HP)
|
100% |
758275
974.8 IPS |
|
Style Transfer (Q)
|
98% |
376670
485.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
55372
2.04 KIPS |
|
Image Super-Resolution (HP)
|
100% |
91740
3.39 KIPS |
|
Image Super-Resolution (Q)
|
99% |
45635
1.69 KIPS |
|
Text Classification (SP)
|
100% |
5000
6.67 KIPS |
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
Text Classification (Q)
|
97% |
3417
4.58 KIPS |
|
Machine Translation (SP)
|
100% |
7823
134.8 IPS |
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
Machine Translation (Q)
|
70% |
4462
83.7 IPS |