User | domdtxdissar |
Upload Date | March 15 2025 12:47 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Eng Sample: 100-000000719-52_Y |
System Information | |
---|---|
Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
Power Plan | Balansert |
CPU Information | |
---|---|
Name | AMD Eng Sample: 100-000000719-52_Y |
Topology | 1 Processor, 8 Cores |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.00 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9627
1.79 KIPS |
|
Image Classification (HP)
|
100% |
9602
1.79 KIPS |
|
Image Classification (Q)
|
100% |
20187
3.75 KIPS |
|
Image Segmentation (SP)
|
100% |
9562
155.0 IPS |
|
Image Segmentation (HP)
|
100% |
9540
154.6 IPS |
|
Image Segmentation (Q)
|
99% |
20575
333.5 IPS |
|
Pose Estimation (SP)
|
100% |
19319
22.5 IPS |
|
Pose Estimation (HP)
|
100% |
19382
22.6 IPS |
|
Pose Estimation (Q)
|
98% |
76399
89.4 IPS |
|
Object Detection (SP)
|
100% |
9898
785.1 IPS |
|
Object Detection (HP)
|
100% |
9920
786.8 IPS |
|
Object Detection (Q)
|
88% |
22680
1.82 KIPS |
|
Face Detection (SP)
|
100% |
30487
362.3 IPS |
|
Face Detection (HP)
|
100% |
30541
362.9 IPS |
|
Face Detection (Q)
|
100% |
55801
663.0 IPS |
|
Depth Estimation (SP)
|
100% |
25213
194.3 IPS |
|
Depth Estimation (HP)
|
99% |
25279
194.8 IPS |
|
Depth Estimation (Q)
|
88% |
65227
507.5 IPS |
|
Style Transfer (SP)
|
100% |
55072
70.8 IPS |
|
Style Transfer (HP)
|
100% |
55288
71.1 IPS |
|
Style Transfer (Q)
|
98% |
193281
249.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
12129
447.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
11740
433.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
35102
1.30 KIPS |
|
Text Classification (SP)
|
100% |
7358
9.82 KIPS |
|
Text Classification (HP)
|
100% |
7315
9.76 KIPS |
|
Text Classification (Q)
|
92% |
9592
12.9 KIPS |
|
Machine Translation (SP)
|
100% |
10205
175.8 IPS |
|
Machine Translation (HP)
|
100% |
10210
175.9 IPS |
|
Machine Translation (Q)
|
100% |
11432
196.9 IPS |