| User | nithinmohantk |
| Upload Date | February 27 2026 06:32 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 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% |
9577
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
11866
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9571
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9280
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10680
173.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11711
190.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
127207
148.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
389409
454.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111688
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
9000
713.9 IPS |
|
|
Object Detection (HP)
|
99% |
12606
999.9 IPS |
|
|
Object Detection (Q)
|
87% |
8433
677.3 IPS |
|
|
Face Detection (SP)
|
100% |
25567
303.8 IPS |
|
|
Face Detection (HP)
|
100% |
34108
405.3 IPS |
|
|
Face Detection (Q)
|
97% |
22873
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
61774
475.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87413
673.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
51863
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
227630
292.6 IPS |
|
|
Style Transfer (HP)
|
100% |
418759
538.3 IPS |
|
|
Style Transfer (Q)
|
98% |
196198
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34094
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56436
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28705
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2668
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3921
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2377
44.6 IPS |