| User | alphapapaactual |
| Upload Date | November 16 2024 02:06 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3231
600.9 IPS |
|
|
Image Classification (HP)
|
100% |
5281
982.2 IPS |
|
|
Image Classification (Q)
|
100% |
2674
497.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4640
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5949
96.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3906
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
48143
56.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
79867
93.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
37516
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
4164
330.3 IPS |
|
|
Object Detection (Q)
|
89% |
2168
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
11399
135.4 IPS |
|
|
Face Detection (Q)
|
97% |
4976
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21260
163.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32541
250.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
14657
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
85292
109.6 IPS |
|
|
Style Transfer (HP)
|
100% |
139779
179.7 IPS |
|
|
Style Transfer (Q)
|
98% |
60776
78.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15965
589.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23181
856.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10255
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1947
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4200
72.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1619
36.1 IPS |