User | NeilB |
Upload Date | September 24 2024 08:31 AM |
Views | 5 |
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% |
7071
1.31 KIPS |
|
Image Classification (HP)
|
100% |
7121
1.32 KIPS |
|
Image Classification (Q)
|
100% |
16473
3.06 KIPS |
|
Image Segmentation (SP)
|
100% |
8749
141.8 IPS |
|
Image Segmentation (HP)
|
100% |
8798
142.6 IPS |
|
Image Segmentation (Q)
|
99% |
19170
310.8 IPS |
|
Pose Estimation (SP)
|
100% |
33743
39.4 IPS |
|
Pose Estimation (HP)
|
100% |
34023
39.7 IPS |
|
Pose Estimation (Q)
|
98% |
134894
157.9 IPS |
|
Object Detection (SP)
|
100% |
8523
676.1 IPS |
|
Object Detection (HP)
|
100% |
8520
675.8 IPS |
|
Object Detection (Q)
|
88% |
19164
1.54 KIPS |
|
Face Detection (SP)
|
100% |
20625
245.1 IPS |
|
Face Detection (HP)
|
100% |
18330
217.8 IPS |
|
Face Detection (Q)
|
100% |
49322
586.1 IPS |
|
Depth Estimation (SP)
|
100% |
26544
204.5 IPS |
|
Depth Estimation (HP)
|
100% |
27592
212.6 IPS |
|
Depth Estimation (Q)
|
80% |
67290
533.3 IPS |
|
Style Transfer (SP)
|
100% |
88113
113.3 IPS |
|
Style Transfer (HP)
|
100% |
87125
112.0 IPS |
|
Style Transfer (Q)
|
98% |
306471
395.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
15572
575.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
15560
574.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
40906
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5224
6.97 KIPS |
|
Text Classification (HP)
|
100% |
5065
6.76 KIPS |
|
Text Classification (Q)
|
92% |
6154
8.27 KIPS |
|
Machine Translation (SP)
|
100% |
7523
129.6 IPS |
|
Machine Translation (HP)
|
100% |
7573
130.5 IPS |
|
Machine Translation (Q)
|
85% |
7171
125.4 IPS |