| User | nithinmohantk |
| Upload Date | November 22 2025 07:43 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2728
507.3 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
100% |
2416
449.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5091
82.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3156
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
36463
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
81365
94.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
26734
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
3208
254.4 IPS |
|
|
Object Detection (Q)
|
87% |
2040
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
5933
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
11155
132.5 IPS |
|
|
Face Detection (Q)
|
97% |
4974
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16864
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24854
191.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12276
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59277
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
108045
138.9 IPS |
|
|
Style Transfer (Q)
|
98% |
40782
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10227
377.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19000
701.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6981
258.5 IPS |
|
|
Text Classification (SP)
|
100% |
1907
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1648
30.9 IPS |