| User | SubLexx |
| Upload Date | November 28 2025 11:20 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Ausbalanciert |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2851
530.1 IPS |
|
|
Image Classification (HP)
|
100% |
5084
945.5 IPS |
|
|
Image Classification (Q)
|
100% |
2060
383.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4173
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5780
93.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3380
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
42485
49.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
96607
112.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29973
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (Q)
|
87% |
1913
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
10764
127.9 IPS |
|
|
Face Detection (Q)
|
97% |
5214
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16622
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27985
215.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13053
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
71334
91.7 IPS |
|
|
Style Transfer (HP)
|
100% |
126602
162.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47477
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10530
388.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26358
973.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6479
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1706
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2627
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1607
30.1 IPS |