User | domdtxdissar |
Upload Date | April 16 2025 02:05 AM |
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% |
7513
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7904
1.47 KIPS |
|
Image Classification (Q)
|
100% |
19612
3.65 KIPS |
|
Image Segmentation (SP)
|
100% |
10651
172.7 IPS |
|
Image Segmentation (HP)
|
100% |
11091
179.8 IPS |
|
Image Segmentation (Q)
|
99% |
31223
506.1 IPS |
|
Pose Estimation (SP)
|
100% |
35439
41.4 IPS |
|
Pose Estimation (HP)
|
100% |
34603
40.4 IPS |
|
Pose Estimation (Q)
|
98% |
136970
160.4 IPS |
|
Object Detection (SP)
|
100% |
9079
720.1 IPS |
|
Object Detection (HP)
|
100% |
9222
731.5 IPS |
|
Object Detection (Q)
|
88% |
22638
1.81 KIPS |
|
Face Detection (SP)
|
100% |
23459
278.7 IPS |
|
Face Detection (HP)
|
100% |
20921
248.6 IPS |
|
Face Detection (Q)
|
100% |
55939
664.7 IPS |
|
Depth Estimation (SP)
|
100% |
29446
226.9 IPS |
|
Depth Estimation (HP)
|
99% |
29667
228.6 IPS |
|
Depth Estimation (Q)
|
88% |
76894
598.5 IPS |
|
Style Transfer (SP)
|
100% |
89736
115.4 IPS |
|
Style Transfer (HP)
|
100% |
89541
115.1 IPS |
|
Style Transfer (Q)
|
98% |
316678
408.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
16144
596.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
16379
604.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
41063
1.52 KIPS |
|
Text Classification (SP)
|
100% |
5300
7.07 KIPS |
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
Text Classification (Q)
|
92% |
6183
8.31 KIPS |
|
Machine Translation (SP)
|
100% |
9339
160.9 IPS |
|
Machine Translation (HP)
|
100% |
9596
165.3 IPS |
|
Machine Translation (Q)
|
100% |
9788
168.6 IPS |