| User | a0545 |
| Upload Date | November 15 2025 01:09 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (Q)
|
100% |
4321
803.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5799
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5738
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5890
6.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
23256
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (Q)
|
88% |
4075
326.7 IPS |
|
|
Face Detection (SP)
|
100% |
4447
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
18066
214.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7025
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6503
50.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
12201
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14078
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14642
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33823
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2165
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6592
244.1 IPS |
|
|
Text Classification (SP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1503
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2665
45.9 IPS |