| User | f180n4cc1 |
| Upload Date | January 02 2025 09:29 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | High performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5141
956.0 IPS |
|
|
Image Classification (HP)
|
100% |
5221
971.0 IPS |
|
|
Image Classification (Q)
|
100% |
10960
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7070
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6944
112.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16661
270.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16922
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16985
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
66107
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
5652
448.3 IPS |
|
|
Object Detection (HP)
|
100% |
5695
451.7 IPS |
|
|
Object Detection (Q)
|
88% |
12591
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
14297
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
13910
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
34326
407.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17432
134.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17459
134.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
43073
335.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43378
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43087
55.4 IPS |
|
|
Style Transfer (Q)
|
98% |
150917
194.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8837
326.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8792
324.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24630
912.1 IPS |
|
|
Text Classification (SP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4494
6.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5475
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5432
93.6 IPS |