User | domdtxdissar |
Upload Date | October 27 2024 12:53 AM |
Views | 5 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Eng Sample: 100-000001277-60_Y |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (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% |
7727
1.44 KIPS |
|
Image Classification (HP)
|
100% |
7700
1.43 KIPS |
|
Image Classification (Q)
|
100% |
15528
2.89 KIPS |
|
Image Segmentation (SP)
|
100% |
9889
160.3 IPS |
|
Image Segmentation (HP)
|
100% |
9848
159.6 IPS |
|
Image Segmentation (Q)
|
99% |
19621
318.1 IPS |
|
Pose Estimation (SP)
|
100% |
35197
41.1 IPS |
|
Pose Estimation (HP)
|
100% |
35237
41.1 IPS |
|
Pose Estimation (Q)
|
98% |
139585
163.4 IPS |
|
Object Detection (SP)
|
100% |
8739
693.2 IPS |
|
Object Detection (HP)
|
100% |
9002
714.1 IPS |
|
Object Detection (Q)
|
88% |
19131
1.53 KIPS |
|
Face Detection (SP)
|
100% |
20828
247.5 IPS |
|
Face Detection (HP)
|
100% |
19681
233.9 IPS |
|
Face Detection (Q)
|
100% |
49620
589.6 IPS |
|
Depth Estimation (SP)
|
100% |
26154
201.5 IPS |
|
Depth Estimation (HP)
|
99% |
27635
212.9 IPS |
|
Depth Estimation (Q)
|
88% |
69194
538.4 IPS |
|
Style Transfer (SP)
|
100% |
89985
115.7 IPS |
|
Style Transfer (HP)
|
100% |
91434
117.5 IPS |
|
Style Transfer (Q)
|
98% |
313856
404.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
16009
591.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
16153
596.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
40206
1.49 KIPS |
|
Text Classification (SP)
|
100% |
5464
7.29 KIPS |
|
Text Classification (HP)
|
100% |
5250
7.01 KIPS |
|
Text Classification (Q)
|
92% |
6314
8.48 KIPS |
|
Machine Translation (SP)
|
100% |
7709
132.8 IPS |
|
Machine Translation (HP)
|
100% |
7675
132.2 IPS |
|
Machine Translation (Q)
|
100% |
7534
129.8 IPS |