User | NeilB |
Upload Date | October 26 2024 02:53 PM |
Views | 3 |
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% |
7428
1.38 KIPS |
|
Image Classification (HP)
|
100% |
7360
1.37 KIPS |
|
Image Classification (Q)
|
100% |
15867
2.95 KIPS |
|
Image Segmentation (SP)
|
100% |
9063
146.9 IPS |
|
Image Segmentation (HP)
|
100% |
9440
153.0 IPS |
|
Image Segmentation (Q)
|
99% |
18889
306.2 IPS |
|
Pose Estimation (SP)
|
100% |
32901
38.4 IPS |
|
Pose Estimation (HP)
|
100% |
32937
38.4 IPS |
|
Pose Estimation (Q)
|
98% |
133706
156.5 IPS |
|
Object Detection (SP)
|
100% |
8541
677.5 IPS |
|
Object Detection (HP)
|
100% |
8432
668.9 IPS |
|
Object Detection (Q)
|
88% |
18980
1.52 KIPS |
|
Face Detection (SP)
|
100% |
18507
219.9 IPS |
|
Face Detection (HP)
|
100% |
19380
230.3 IPS |
|
Face Detection (Q)
|
100% |
54310
645.3 IPS |
|
Depth Estimation (SP)
|
100% |
24545
189.1 IPS |
|
Depth Estimation (HP)
|
100% |
26294
202.6 IPS |
|
Depth Estimation (Q)
|
80% |
67856
537.8 IPS |
|
Style Transfer (SP)
|
100% |
85690
110.2 IPS |
|
Style Transfer (HP)
|
100% |
87461
112.4 IPS |
|
Style Transfer (Q)
|
98% |
304033
392.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
15076
556.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15005
554.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
39346
1.46 KIPS |
|
Text Classification (SP)
|
100% |
5224
6.97 KIPS |
|
Text Classification (HP)
|
100% |
5357
7.15 KIPS |
|
Text Classification (Q)
|
92% |
6095
8.19 KIPS |
|
Machine Translation (SP)
|
100% |
7413
127.7 IPS |
|
Machine Translation (HP)
|
100% |
7424
127.9 IPS |
|
Machine Translation (Q)
|
85% |
7508
131.2 IPS |