| User | nithinmohantk |
| Upload Date | March 03 2026 09:46 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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% |
8305
1.54 KIPS |
|
|
Image Classification (HP)
|
99% |
10890
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
5778
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12604
204.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16067
260.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9657
157.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
165714
193.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
333214
388.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
125115
146.6 IPS |
|
|
Object Detection (SP)
|
100% |
10690
847.9 IPS |
|
|
Object Detection (HP)
|
100% |
14324
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
7444
598.8 IPS |
|
|
Face Detection (SP)
|
100% |
28346
336.8 IPS |
|
|
Face Detection (HP)
|
100% |
36744
436.6 IPS |
|
|
Face Detection (Q)
|
97% |
19589
233.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
59781
460.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100210
772.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36605
293.1 IPS |
|
|
Style Transfer (SP)
|
100% |
252494
324.6 IPS |
|
|
Style Transfer (HP)
|
100% |
542956
698.0 IPS |
|
|
Style Transfer (Q)
|
98% |
184323
237.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33857
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46226
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20215
748.5 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1266
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1364
25.6 IPS |