User | draytek11 |
Upload Date | April 21 2025 05:51 PM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
Power Plan | 1usmus Ryzen Power Plan |
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% |
7542
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7708
1.43 KIPS |
|
Image Classification (Q)
|
100% |
17935
3.34 KIPS |
|
Image Segmentation (SP)
|
100% |
10253
166.2 IPS |
|
Image Segmentation (HP)
|
100% |
10288
166.8 IPS |
|
Image Segmentation (Q)
|
99% |
29115
472.0 IPS |
|
Pose Estimation (SP)
|
100% |
31882
37.2 IPS |
|
Pose Estimation (HP)
|
100% |
32515
37.9 IPS |
|
Pose Estimation (Q)
|
98% |
127038
148.7 IPS |
|
Object Detection (SP)
|
100% |
8967
711.3 IPS |
|
Object Detection (HP)
|
100% |
9152
726.0 IPS |
|
Object Detection (Q)
|
88% |
22426
1.80 KIPS |
|
Face Detection (SP)
|
100% |
19973
237.3 IPS |
|
Face Detection (HP)
|
100% |
19097
226.9 IPS |
|
Face Detection (Q)
|
100% |
59662
708.9 IPS |
|
Depth Estimation (SP)
|
100% |
26809
206.5 IPS |
|
Depth Estimation (HP)
|
99% |
27587
212.5 IPS |
|
Depth Estimation (Q)
|
88% |
71370
555.5 IPS |
|
Style Transfer (SP)
|
100% |
83025
106.7 IPS |
|
Style Transfer (HP)
|
100% |
83695
107.6 IPS |
|
Style Transfer (Q)
|
98% |
294468
379.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
15099
557.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
15421
569.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
40809
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5080
6.78 KIPS |
|
Text Classification (HP)
|
100% |
4982
6.65 KIPS |
|
Text Classification (Q)
|
92% |
5790
7.78 KIPS |
|
Machine Translation (SP)
|
100% |
9105
156.8 IPS |
|
Machine Translation (HP)
|
100% |
9241
159.2 IPS |
|
Machine Translation (Q)
|
100% |
9070
156.2 IPS |