| User | MrCrispr |
| Upload Date | September 25 2024 05:15 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7536
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7383
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15157
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9140
148.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8660
140.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18393
298.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32374
37.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32476
37.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
129344
151.4 IPS |
|
|
Object Detection (SP)
|
100% |
8231
652.8 IPS |
|
|
Object Detection (HP)
|
100% |
8391
665.6 IPS |
|
|
Object Detection (Q)
|
88% |
19167
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
18190
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
18091
215.0 IPS |
|
|
Face Detection (Q)
|
100% |
48032
570.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25733
198.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24881
191.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66864
520.3 IPS |
|
|
Style Transfer (SP)
|
100% |
84681
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85105
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
298306
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15135
558.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15234
562.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39895
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
92% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7319
126.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7613
131.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7301
125.8 IPS |