| Upload Date | February 21 2026 08:42 PM |
| Views | 10 |
| 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. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Hj ydeevne |
| 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% |
18965
3.53 KIPS |
|
|
Image Classification (HP)
|
100% |
22417
4.17 KIPS |
|
|
Image Classification (Q)
|
99% |
17976
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21873
354.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26423
428.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
29471
479.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
218587
255.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
686786
801.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
198336
232.3 IPS |
|
|
Object Detection (SP)
|
100% |
17077
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
25331
2.01 KIPS |
|
|
Object Detection (Q)
|
87% |
15748
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
63209
751.1 IPS |
|
|
Face Detection (HP)
|
100% |
77527
921.2 IPS |
|
|
Face Detection (Q)
|
97% |
55212
658.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
92099
709.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
143673
1.11 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76759
615.1 IPS |
|
|
Style Transfer (SP)
|
100% |
392940
505.1 IPS |
|
|
Style Transfer (HP)
|
100% |
756093
972.0 IPS |
|
|
Style Transfer (Q)
|
98% |
374254
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56138
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95480
3.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46694
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6181
8.25 KIPS |
|
|
Text Classification (Q)
|
97% |
3794
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
8647
149.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8677
149.5 IPS |
|
|
Machine Translation (Q)
|
70% |
4627
86.8 IPS |