| User | domdtxdissar |
| Upload Date | September 19 2024 07:42 PM |
| Views | 15 |
| 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% |
5580
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5475
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
11534
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5378
87.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5454
88.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11310
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17417
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17493
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
66989
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
5931
470.4 IPS |
|
|
Object Detection (HP)
|
100% |
6076
481.9 IPS |
|
|
Object Detection (Q)
|
88% |
13555
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
14982
178.0 IPS |
|
|
Face Detection (HP)
|
100% |
15237
181.1 IPS |
|
|
Face Detection (Q)
|
100% |
35090
416.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18631
143.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18513
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
44136
343.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44322
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43471
55.9 IPS |
|
|
Style Transfer (Q)
|
98% |
150483
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8589
317.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8664
319.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25162
931.8 IPS |
|
|
Text Classification (SP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
92% |
4708
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5698
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5970
102.8 IPS |