| User | domdtxdissar |
| Upload Date | September 19 2024 08:07 PM |
| Views | 12 |
| 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% |
5293
984.4 IPS |
|
|
Image Classification (HP)
|
100% |
5301
985.9 IPS |
|
|
Image Classification (Q)
|
100% |
11853
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5316
86.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5296
85.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11505
186.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17588
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17197
20.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
66879
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
5952
472.1 IPS |
|
|
Object Detection (HP)
|
100% |
5841
463.3 IPS |
|
|
Object Detection (Q)
|
88% |
13107
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
15023
178.5 IPS |
|
|
Face Detection (HP)
|
100% |
15456
183.7 IPS |
|
|
Face Detection (Q)
|
100% |
35291
419.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18025
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17928
138.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
42654
331.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42804
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41936
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
145006
187.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8909
329.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8885
328.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24712
915.2 IPS |
|
|
Text Classification (SP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
92% |
4816
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5474
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5606
96.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5698
98.2 IPS |