| Upload Date | February 07 2026 01:07 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HC Technology.,Ltd HCAR300_MI3 |
| Motherboard | HC Technology.,Ltd HCAR300_MI3 |
| 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% |
2767
514.6 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
7146
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8115
132.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4731
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
19872
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
6555
526.8 IPS |
|
|
Face Detection (SP)
|
100% |
5491
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
9558
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6303
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2041
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14568
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11463
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11451
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27916
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3277
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1464
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.5 IPS |
|
|
Text Classification (Q)
|
97% |
1325
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2541
51.1 IPS |