| User | zlocorp |
| Upload Date | March 18 2026 04:53 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17481
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
20589
3.83 KIPS |
|
|
Image Classification (Q)
|
99% |
16517
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21053
341.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25200
408.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27718
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
201878
235.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
651746
760.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
186817
218.8 IPS |
|
|
Object Detection (SP)
|
100% |
15854
1.26 KIPS |
|
|
Object Detection (HP)
|
99% |
23062
1.83 KIPS |
|
|
Object Detection (Q)
|
87% |
14904
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
58105
690.4 IPS |
|
|
Face Detection (HP)
|
100% |
68921
818.9 IPS |
|
|
Face Detection (Q)
|
97% |
51122
609.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88217
679.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
137092
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73257
587.1 IPS |
|
|
Style Transfer (SP)
|
100% |
384969
494.9 IPS |
|
|
Style Transfer (HP)
|
100% |
727328
935.0 IPS |
|
|
Style Transfer (Q)
|
98% |
341073
439.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52723
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88721
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43824
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.37 KIPS |
|
|
Text Classification (Q)
|
97% |
3478
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
8298
142.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8218
141.6 IPS |
|
|
Machine Translation (Q)
|
70% |
4469
83.8 IPS |