User | domdtxdissar |
Upload Date | September 23 2024 06:28 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Eng Sample: 100-000001277-60_Y |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Eng Sample: 100-000001277-60_Y |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 3.60 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7123
1.32 KIPS |
|
Image Classification (HP)
|
100% |
7349
1.37 KIPS |
|
Image Classification (Q)
|
100% |
16168
3.01 KIPS |
|
Image Segmentation (SP)
|
100% |
10024
162.5 IPS |
|
Image Segmentation (HP)
|
100% |
8831
143.2 IPS |
|
Image Segmentation (Q)
|
99% |
19023
308.4 IPS |
|
Pose Estimation (SP)
|
100% |
33963
39.6 IPS |
|
Pose Estimation (HP)
|
100% |
34629
40.4 IPS |
|
Pose Estimation (Q)
|
98% |
136792
160.1 IPS |
|
Object Detection (SP)
|
100% |
8733
692.7 IPS |
|
Object Detection (HP)
|
100% |
8823
699.9 IPS |
|
Object Detection (Q)
|
88% |
19478
1.56 KIPS |
|
Face Detection (SP)
|
100% |
18713
222.4 IPS |
|
Face Detection (HP)
|
100% |
19370
230.2 IPS |
|
Face Detection (Q)
|
100% |
51687
614.2 IPS |
|
Depth Estimation (SP)
|
100% |
26128
201.3 IPS |
|
Depth Estimation (HP)
|
99% |
26017
200.4 IPS |
|
Depth Estimation (Q)
|
88% |
68906
536.2 IPS |
|
Style Transfer (SP)
|
100% |
88693
114.0 IPS |
|
Style Transfer (HP)
|
100% |
88850
114.2 IPS |
|
Style Transfer (Q)
|
98% |
305168
393.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
15490
572.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
15241
562.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
41543
1.54 KIPS |
|
Text Classification (SP)
|
100% |
5248
7.01 KIPS |
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
Text Classification (Q)
|
92% |
6031
8.10 KIPS |
|
Machine Translation (SP)
|
100% |
7879
135.7 IPS |
|
Machine Translation (HP)
|
100% |
7465
128.6 IPS |
|
Machine Translation (Q)
|
100% |
6986
120.3 IPS |