| User | domdtxdissar |
| Upload Date | April 15 2025 05:41 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
7544
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8503
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
19482
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11048
179.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10429
169.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27702
449.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34468
40.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35068
40.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
135862
159.1 IPS |
|
|
Object Detection (SP)
|
100% |
9381
744.1 IPS |
|
|
Object Detection (HP)
|
100% |
9302
737.9 IPS |
|
|
Object Detection (Q)
|
88% |
23079
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
21562
256.2 IPS |
|
|
Face Detection (HP)
|
100% |
20493
243.5 IPS |
|
|
Face Detection (Q)
|
100% |
58412
694.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28896
222.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28498
219.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
75858
590.4 IPS |
|
|
Style Transfer (SP)
|
100% |
87258
112.2 IPS |
|
|
Style Transfer (HP)
|
100% |
87576
112.6 IPS |
|
|
Style Transfer (Q)
|
98% |
314149
405.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16298
601.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16050
592.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42070
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5211
6.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5120
6.83 KIPS |
|
|
Text Classification (Q)
|
92% |
6014
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
9344
161.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9303
160.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9705
167.2 IPS |