User | NeilB |
Upload Date | October 21 2024 02:25 PM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
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 Ryzen 9 9950X 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.30 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7679
1.43 KIPS |
|
Image Classification (HP)
|
100% |
7424
1.38 KIPS |
|
Image Classification (Q)
|
100% |
15459
2.87 KIPS |
|
Image Segmentation (SP)
|
100% |
8374
135.7 IPS |
|
Image Segmentation (HP)
|
100% |
8697
141.0 IPS |
|
Image Segmentation (Q)
|
99% |
17391
281.9 IPS |
|
Pose Estimation (SP)
|
100% |
33179
38.7 IPS |
|
Pose Estimation (HP)
|
100% |
32951
38.4 IPS |
|
Pose Estimation (Q)
|
98% |
131995
154.5 IPS |
|
Object Detection (SP)
|
100% |
8613
683.2 IPS |
|
Object Detection (HP)
|
100% |
8548
678.0 IPS |
|
Object Detection (Q)
|
88% |
18291
1.47 KIPS |
|
Face Detection (SP)
|
100% |
18776
223.1 IPS |
|
Face Detection (HP)
|
100% |
19788
235.1 IPS |
|
Face Detection (Q)
|
100% |
53132
631.3 IPS |
|
Depth Estimation (SP)
|
100% |
25738
198.3 IPS |
|
Depth Estimation (HP)
|
100% |
25359
195.4 IPS |
|
Depth Estimation (Q)
|
80% |
68490
542.8 IPS |
|
Style Transfer (SP)
|
100% |
85665
110.1 IPS |
|
Style Transfer (HP)
|
100% |
85831
110.3 IPS |
|
Style Transfer (Q)
|
98% |
306563
395.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
15185
560.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15415
569.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
39392
1.46 KIPS |
|
Text Classification (SP)
|
100% |
5187
6.92 KIPS |
|
Text Classification (HP)
|
100% |
5119
6.83 KIPS |
|
Text Classification (Q)
|
92% |
6090
8.18 KIPS |
|
Machine Translation (SP)
|
100% |
7408
127.6 IPS |
|
Machine Translation (HP)
|
100% |
7511
129.4 IPS |
|
Machine Translation (Q)
|
85% |
6892
120.5 IPS |