| User | domdtxdissar |
| Upload Date | September 19 2024 08:30 PM |
| Views | 13 |
| 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% |
5692
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5465
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12003
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5428
88.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5450
88.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11605
188.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17552
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17536
20.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
67203
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
6127
486.0 IPS |
|
|
Object Detection (HP)
|
100% |
6092
483.2 IPS |
|
|
Object Detection (Q)
|
88% |
13334
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
15874
188.6 IPS |
|
|
Face Detection (HP)
|
100% |
16012
190.3 IPS |
|
|
Face Detection (Q)
|
100% |
36158
429.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18318
141.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18696
144.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
42976
334.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44422
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43984
56.5 IPS |
|
|
Style Transfer (Q)
|
98% |
152448
196.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8663
319.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8647
319.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25599
948.1 IPS |
|
|
Text Classification (SP)
|
100% |
4333
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4232
5.65 KIPS |
|
|
Text Classification (Q)
|
92% |
4701
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5660
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5473
94.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5696
98.1 IPS |