User | domdtxdissar |
Upload Date | October 23 2024 09:38 PM |
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% |
7357
1.37 KIPS |
|
Image Classification (HP)
|
100% |
7635
1.42 KIPS |
|
Image Classification (Q)
|
100% |
15660
2.91 KIPS |
|
Image Segmentation (SP)
|
100% |
8748
141.8 IPS |
|
Image Segmentation (HP)
|
100% |
9253
150.0 IPS |
|
Image Segmentation (Q)
|
99% |
18973
307.6 IPS |
|
Pose Estimation (SP)
|
100% |
34500
40.3 IPS |
|
Pose Estimation (HP)
|
100% |
34977
40.8 IPS |
|
Pose Estimation (Q)
|
98% |
139579
163.4 IPS |
|
Object Detection (SP)
|
100% |
9323
739.5 IPS |
|
Object Detection (HP)
|
100% |
8839
701.1 IPS |
|
Object Detection (Q)
|
88% |
18926
1.52 KIPS |
|
Face Detection (SP)
|
100% |
20710
246.1 IPS |
|
Face Detection (HP)
|
100% |
18485
219.6 IPS |
|
Face Detection (Q)
|
100% |
49712
590.7 IPS |
|
Depth Estimation (SP)
|
100% |
26740
206.0 IPS |
|
Depth Estimation (HP)
|
99% |
25771
198.5 IPS |
|
Depth Estimation (Q)
|
88% |
69548
541.1 IPS |
|
Style Transfer (SP)
|
100% |
91021
117.0 IPS |
|
Style Transfer (HP)
|
100% |
90443
116.3 IPS |
|
Style Transfer (Q)
|
98% |
317464
409.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
15915
587.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15830
584.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
40179
1.49 KIPS |
|
Text Classification (SP)
|
100% |
5582
7.45 KIPS |
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
Text Classification (Q)
|
92% |
6807
9.14 KIPS |
|
Machine Translation (SP)
|
100% |
7643
131.7 IPS |
|
Machine Translation (HP)
|
100% |
7556
130.1 IPS |
|
Machine Translation (Q)
|
100% |
7507
129.3 IPS |