| User | nithinmohantk |
| Upload Date | March 09 2026 01:34 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13096
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
13621
2.53 KIPS |
|
|
Image Classification (Q)
|
99% |
11950
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15658
253.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17880
289.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15119
245.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
190312
222.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
527715
615.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
176484
206.7 IPS |
|
|
Object Detection (SP)
|
100% |
13673
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
14936
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
9301
747.0 IPS |
|
|
Face Detection (SP)
|
100% |
32536
386.6 IPS |
|
|
Face Detection (HP)
|
100% |
39733
472.1 IPS |
|
|
Face Detection (Q)
|
97% |
32647
389.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
77886
600.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113668
875.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
65113
521.8 IPS |
|
|
Style Transfer (SP)
|
100% |
346167
445.0 IPS |
|
|
Style Transfer (HP)
|
100% |
584754
751.7 IPS |
|
|
Style Transfer (Q)
|
98% |
314191
405.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43304
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61221
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36681
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4120
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2807
52.6 IPS |