| User | domdtxdissar |
| Upload Date | April 17 2025 03:20 PM |
| Views | 8 |
| 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, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9752
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9738
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
23405
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10738
174.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10734
174.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28442
461.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19082
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19190
22.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
76169
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
10082
799.7 IPS |
|
|
Object Detection (HP)
|
100% |
10046
796.9 IPS |
|
|
Object Detection (Q)
|
88% |
24987
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
25146
298.8 IPS |
|
|
Face Detection (HP)
|
100% |
25799
306.5 IPS |
|
|
Face Detection (Q)
|
100% |
60221
715.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26025
200.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25967
200.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
71004
552.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53993
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54439
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
188844
243.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12125
447.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12247
452.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35407
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7333
9.79 KIPS |
|
|
Text Classification (HP)
|
100% |
7340
9.80 KIPS |
|
|
Text Classification (Q)
|
92% |
9760
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
13079
225.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12783
220.2 IPS |
|
|
Machine Translation (Q)
|
100% |
15096
260.0 IPS |