User | domdtxdissar |
Upload Date | April 15 2025 02:36 PM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X3D 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% |
7902
1.47 KIPS |
|
Image Classification (HP)
|
100% |
7535
1.40 KIPS |
|
Image Classification (Q)
|
100% |
19080
3.55 KIPS |
|
Image Segmentation (SP)
|
100% |
10206
165.5 IPS |
|
Image Segmentation (HP)
|
100% |
10642
172.5 IPS |
|
Image Segmentation (Q)
|
99% |
30729
498.1 IPS |
|
Pose Estimation (SP)
|
100% |
35046
40.9 IPS |
|
Pose Estimation (HP)
|
100% |
34592
40.4 IPS |
|
Pose Estimation (Q)
|
98% |
136102
159.3 IPS |
|
Object Detection (SP)
|
100% |
9318
739.1 IPS |
|
Object Detection (HP)
|
100% |
9723
771.2 IPS |
|
Object Detection (Q)
|
88% |
22376
1.79 KIPS |
|
Face Detection (SP)
|
100% |
20285
241.0 IPS |
|
Face Detection (HP)
|
100% |
20467
243.2 IPS |
|
Face Detection (Q)
|
100% |
57915
688.2 IPS |
|
Depth Estimation (SP)
|
100% |
27739
213.7 IPS |
|
Depth Estimation (HP)
|
99% |
27697
213.4 IPS |
|
Depth Estimation (Q)
|
88% |
75866
590.5 IPS |
|
Style Transfer (SP)
|
100% |
86435
111.1 IPS |
|
Style Transfer (HP)
|
100% |
86612
111.3 IPS |
|
Style Transfer (Q)
|
98% |
307719
396.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
15720
580.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
16320
602.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
41917
1.55 KIPS |
|
Text Classification (SP)
|
100% |
5071
6.77 KIPS |
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
Text Classification (Q)
|
92% |
6067
8.15 KIPS |
|
Machine Translation (SP)
|
100% |
9498
163.6 IPS |
|
Machine Translation (HP)
|
100% |
9490
163.5 IPS |
|
Machine Translation (Q)
|
100% |
9691
166.9 IPS |