User | domdtxdissar |
Upload Date | September 11 2024 09:19 PM |
Views | 4 |
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 |
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% |
7354
1.37 KIPS |
|
Image Classification (HP)
|
100% |
7249
1.35 KIPS |
|
Image Classification (Q)
|
100% |
15159
2.82 KIPS |
|
Image Segmentation (SP)
|
100% |
8679
140.7 IPS |
|
Image Segmentation (HP)
|
100% |
8487
137.6 IPS |
|
Image Segmentation (Q)
|
99% |
16013
259.6 IPS |
|
Pose Estimation (SP)
|
100% |
33142
38.7 IPS |
|
Pose Estimation (HP)
|
100% |
33122
38.6 IPS |
|
Pose Estimation (Q)
|
98% |
130884
153.2 IPS |
|
Object Detection (SP)
|
100% |
8714
691.2 IPS |
|
Object Detection (HP)
|
100% |
8162
647.4 IPS |
|
Object Detection (Q)
|
88% |
17933
1.44 KIPS |
|
Face Detection (SP)
|
100% |
17975
213.6 IPS |
|
Face Detection (HP)
|
100% |
18074
214.8 IPS |
|
Face Detection (Q)
|
100% |
43951
522.2 IPS |
|
Depth Estimation (SP)
|
100% |
25664
197.7 IPS |
|
Depth Estimation (HP)
|
99% |
25709
198.1 IPS |
|
Depth Estimation (Q)
|
88% |
63742
496.0 IPS |
|
Style Transfer (SP)
|
100% |
83870
107.8 IPS |
|
Style Transfer (HP)
|
100% |
82196
105.7 IPS |
|
Style Transfer (Q)
|
98% |
285506
368.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
14525
536.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
13884
512.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
36341
1.35 KIPS |
|
Text Classification (SP)
|
100% |
4945
6.60 KIPS |
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
Text Classification (Q)
|
92% |
6225
8.36 KIPS |
|
Machine Translation (SP)
|
100% |
6454
111.2 IPS |
|
Machine Translation (HP)
|
100% |
6436
110.9 IPS |
|
Machine Translation (Q)
|
100% |
7082
122.0 IPS |