| Upload Date | October 31 2025 03:55 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. VenturePro A14 AI+ A3HWETG |
| Motherboard | Micro-Star International Co., Ltd. MS-14QL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
3604
670.2 IPS |
|
|
Image Classification (Q)
|
100% |
1648
306.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3605
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3827
62.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2955
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34330
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
64312
75.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26259
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (Q)
|
87% |
1638
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
5674
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
9207
109.4 IPS |
|
|
Face Detection (Q)
|
97% |
4815
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13967
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20157
155.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
10852
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55230
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
98877
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40070
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8817
325.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20102
742.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6122
226.7 IPS |
|
|
Text Classification (SP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1254
23.5 IPS |