| Upload Date | January 01 2026 07:24 AM |
| Views | 7 |
| 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 EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BNB |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3560
662.0 IPS |
|
|
Image Classification (HP)
|
100% |
5371
998.8 IPS |
|
|
Image Classification (Q)
|
100% |
3211
597.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5047
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6531
105.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4093
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45612
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
113044
131.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33479
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (Q)
|
87% |
2633
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
14053
167.0 IPS |
|
|
Face Detection (Q)
|
97% |
6309
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21491
165.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33691
259.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16420
131.7 IPS |
|
|
Style Transfer (SP)
|
100% |
83394
107.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155369
199.7 IPS |
|
|
Style Transfer (Q)
|
98% |
55722
71.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14434
533.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27083
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9458
350.2 IPS |
|
|
Text Classification (SP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1888
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4278
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2054
38.5 IPS |