| User | MrCrispr |
| Upload Date | September 30 2024 02:51 AM |
| Views | 18 |
| 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% |
7262
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7156
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
15419
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8566
138.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8955
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18384
298.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32458
37.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32437
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
127950
149.8 IPS |
|
|
Object Detection (SP)
|
100% |
8764
695.2 IPS |
|
|
Object Detection (HP)
|
100% |
8630
684.5 IPS |
|
|
Object Detection (Q)
|
88% |
18029
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
18176
216.0 IPS |
|
|
Face Detection (HP)
|
100% |
20330
241.6 IPS |
|
|
Face Detection (Q)
|
100% |
50836
604.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25441
196.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24833
191.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
61806
480.9 IPS |
|
|
Style Transfer (SP)
|
100% |
84583
108.7 IPS |
|
|
Style Transfer (HP)
|
100% |
83590
107.5 IPS |
|
|
Style Transfer (Q)
|
98% |
296201
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15356
567.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14884
549.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39376
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
92% |
6109
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7315
126.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7249
124.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7014
120.8 IPS |