User | domdtxdissar |
Upload Date | October 23 2024 09:43 PM |
Views | 1 |
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% |
7237
1.35 KIPS |
|
Image Classification (HP)
|
100% |
7828
1.46 KIPS |
|
Image Classification (Q)
|
100% |
16237
3.02 KIPS |
|
Image Segmentation (SP)
|
100% |
9047
146.7 IPS |
|
Image Segmentation (HP)
|
100% |
9045
146.6 IPS |
|
Image Segmentation (Q)
|
99% |
19510
316.3 IPS |
|
Pose Estimation (SP)
|
100% |
35334
41.2 IPS |
|
Pose Estimation (HP)
|
100% |
35384
41.3 IPS |
|
Pose Estimation (Q)
|
98% |
139495
163.3 IPS |
|
Object Detection (SP)
|
100% |
8977
712.1 IPS |
|
Object Detection (HP)
|
100% |
9159
726.5 IPS |
|
Object Detection (Q)
|
88% |
19071
1.53 KIPS |
|
Face Detection (SP)
|
100% |
19520
231.9 IPS |
|
Face Detection (HP)
|
100% |
19903
236.5 IPS |
|
Face Detection (Q)
|
100% |
53305
633.4 IPS |
|
Depth Estimation (SP)
|
100% |
25790
198.7 IPS |
|
Depth Estimation (HP)
|
99% |
27031
208.3 IPS |
|
Depth Estimation (Q)
|
88% |
69385
539.9 IPS |
|
Style Transfer (SP)
|
100% |
89761
115.4 IPS |
|
Style Transfer (HP)
|
100% |
90704
116.6 IPS |
|
Style Transfer (Q)
|
98% |
316817
408.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
16067
593.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
16411
606.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
41386
1.53 KIPS |
|
Text Classification (SP)
|
100% |
5365
7.16 KIPS |
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
Text Classification (Q)
|
92% |
6218
8.35 KIPS |
|
Machine Translation (SP)
|
100% |
7557
130.2 IPS |
|
Machine Translation (HP)
|
100% |
7594
130.8 IPS |
|
Machine Translation (Q)
|
100% |
7247
124.8 IPS |