User | domdtxdissar |
Upload Date | September 11 2024 09:03 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, 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% |
6811
1.27 KIPS |
|
Image Classification (HP)
|
100% |
7718
1.44 KIPS |
|
Image Classification (Q)
|
100% |
15086
2.81 KIPS |
|
Image Segmentation (SP)
|
100% |
8488
137.6 IPS |
|
Image Segmentation (HP)
|
100% |
8279
134.2 IPS |
|
Image Segmentation (Q)
|
99% |
16248
263.4 IPS |
|
Pose Estimation (SP)
|
100% |
34812
40.6 IPS |
|
Pose Estimation (HP)
|
100% |
34629
40.4 IPS |
|
Pose Estimation (Q)
|
98% |
134659
157.6 IPS |
|
Object Detection (SP)
|
100% |
7923
628.4 IPS |
|
Object Detection (HP)
|
100% |
8221
652.1 IPS |
|
Object Detection (Q)
|
88% |
18051
1.45 KIPS |
|
Face Detection (SP)
|
100% |
17602
209.2 IPS |
|
Face Detection (HP)
|
100% |
16876
200.5 IPS |
|
Face Detection (Q)
|
100% |
43330
514.9 IPS |
|
Depth Estimation (SP)
|
100% |
25635
197.5 IPS |
|
Depth Estimation (HP)
|
99% |
25519
196.6 IPS |
|
Depth Estimation (Q)
|
88% |
63793
496.4 IPS |
|
Style Transfer (SP)
|
100% |
85471
109.9 IPS |
|
Style Transfer (HP)
|
100% |
85635
110.1 IPS |
|
Style Transfer (Q)
|
98% |
297319
383.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
14253
526.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
14441
533.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
37221
1.38 KIPS |
|
Text Classification (SP)
|
100% |
5027
6.71 KIPS |
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
Text Classification (Q)
|
92% |
6201
8.33 KIPS |
|
Machine Translation (SP)
|
100% |
6507
112.1 IPS |
|
Machine Translation (HP)
|
100% |
6693
115.3 IPS |
|
Machine Translation (Q)
|
100% |
6265
107.9 IPS |