| User | domdtxdissar |
| Upload Date | September 19 2024 08:22 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5267
979.5 IPS |
|
|
Image Classification (HP)
|
100% |
5363
997.3 IPS |
|
|
Image Classification (Q)
|
100% |
11331
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5329
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5335
86.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11079
179.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16613
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16531
19.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
66051
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
5956
472.4 IPS |
|
|
Object Detection (HP)
|
100% |
6139
487.0 IPS |
|
|
Object Detection (Q)
|
88% |
13256
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
15814
187.9 IPS |
|
|
Face Detection (HP)
|
100% |
15310
181.9 IPS |
|
|
Face Detection (Q)
|
100% |
35338
419.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17799
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17741
136.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
42435
330.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42464
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
42192
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
150319
193.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8421
311.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8398
310.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24071
891.4 IPS |
|
|
Text Classification (SP)
|
100% |
4115
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
92% |
4470
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5509
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5651
97.3 IPS |