| User | a0545 |
| Upload Date | September 27 2025 02:00 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1618-04 |
| Motherboard | GPD G1618-04 |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
99% |
4429
826.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2825
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5789
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
21723
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
4846
389.5 IPS |
|
|
Face Detection (SP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
7680
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6542
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2111
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10474
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13520
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11552
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23973
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2542
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.0 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2520
50.6 IPS |