User | domdtxdissar |
Upload Date | September 11 2024 09:24 PM |
Views | 2 |
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% |
7301
1.36 KIPS |
|
Image Classification (HP)
|
100% |
7216
1.34 KIPS |
|
Image Classification (Q)
|
100% |
15260
2.84 KIPS |
|
Image Segmentation (SP)
|
100% |
8526
138.2 IPS |
|
Image Segmentation (HP)
|
100% |
8422
136.5 IPS |
|
Image Segmentation (Q)
|
99% |
16128
261.4 IPS |
|
Pose Estimation (SP)
|
100% |
33508
39.1 IPS |
|
Pose Estimation (HP)
|
100% |
34235
39.9 IPS |
|
Pose Estimation (Q)
|
98% |
131683
154.2 IPS |
|
Object Detection (SP)
|
100% |
8771
695.8 IPS |
|
Object Detection (HP)
|
100% |
8379
664.6 IPS |
|
Object Detection (Q)
|
88% |
17347
1.39 KIPS |
|
Face Detection (SP)
|
100% |
18119
215.3 IPS |
|
Face Detection (HP)
|
100% |
17416
206.9 IPS |
|
Face Detection (Q)
|
100% |
43601
518.1 IPS |
|
Depth Estimation (SP)
|
100% |
25040
192.9 IPS |
|
Depth Estimation (HP)
|
99% |
25729
198.2 IPS |
|
Depth Estimation (Q)
|
88% |
63718
495.8 IPS |
|
Style Transfer (SP)
|
100% |
82274
105.8 IPS |
|
Style Transfer (HP)
|
100% |
83368
107.2 IPS |
|
Style Transfer (Q)
|
98% |
293852
378.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
13957
515.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
14096
520.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
38666
1.43 KIPS |
|
Text Classification (SP)
|
100% |
5194
6.93 KIPS |
|
Text Classification (HP)
|
100% |
5023
6.70 KIPS |
|
Text Classification (Q)
|
92% |
6500
8.73 KIPS |
|
Machine Translation (SP)
|
100% |
6732
116.0 IPS |
|
Machine Translation (HP)
|
100% |
6508
112.1 IPS |
|
Machine Translation (Q)
|
100% |
6360
109.6 IPS |