User | domdtxdissar |
Upload Date | September 11 2024 09:27 PM |
Views | 6 |
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% |
7522
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7176
1.33 KIPS |
|
Image Classification (Q)
|
100% |
15318
2.85 KIPS |
|
Image Segmentation (SP)
|
100% |
8663
140.4 IPS |
|
Image Segmentation (HP)
|
100% |
8458
137.1 IPS |
|
Image Segmentation (Q)
|
99% |
16382
265.6 IPS |
|
Pose Estimation (SP)
|
100% |
33897
39.6 IPS |
|
Pose Estimation (HP)
|
100% |
34167
39.9 IPS |
|
Pose Estimation (Q)
|
98% |
133982
156.9 IPS |
|
Object Detection (SP)
|
100% |
8373
664.1 IPS |
|
Object Detection (HP)
|
100% |
8494
673.8 IPS |
|
Object Detection (Q)
|
88% |
17940
1.44 KIPS |
|
Face Detection (SP)
|
100% |
17786
211.3 IPS |
|
Face Detection (HP)
|
100% |
19001
225.8 IPS |
|
Face Detection (Q)
|
100% |
45434
539.9 IPS |
|
Depth Estimation (SP)
|
100% |
25608
197.3 IPS |
|
Depth Estimation (HP)
|
99% |
25720
198.2 IPS |
|
Depth Estimation (Q)
|
88% |
63805
496.5 IPS |
|
Style Transfer (SP)
|
100% |
82806
106.4 IPS |
|
Style Transfer (HP)
|
100% |
85063
109.3 IPS |
|
Style Transfer (Q)
|
98% |
294504
379.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
14451
533.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
14138
522.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
36755
1.36 KIPS |
|
Text Classification (SP)
|
100% |
5230
6.98 KIPS |
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
Text Classification (Q)
|
92% |
5849
7.86 KIPS |
|
Machine Translation (SP)
|
100% |
6541
112.7 IPS |
|
Machine Translation (HP)
|
100% |
6653
114.6 IPS |
|
Machine Translation (Q)
|
100% |
6400
110.2 IPS |