| Upload Date | October 31 2025 03:36 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| 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% |
2962
550.8 IPS |
|
|
Image Classification (HP)
|
100% |
3009
559.6 IPS |
|
|
Image Classification (Q)
|
100% |
8700
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3530
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3474
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9513
154.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
23881
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2837
225.0 IPS |
|
|
Object Detection (HP)
|
100% |
2873
227.9 IPS |
|
|
Object Detection (Q)
|
88% |
8524
683.3 IPS |
|
|
Face Detection (SP)
|
100% |
7491
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
7496
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
22827
271.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8197
63.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
21775
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16133
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16801
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
59763
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3357
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3343
123.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11500
425.9 IPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4989
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4737
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6595
113.6 IPS |