| User | MrCrispr |
| Upload Date | September 30 2024 03:48 AM |
| Views | 14 |
| 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% |
7700
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7822
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15850
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9174
148.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8843
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18087
293.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33024
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32354
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
130936
153.3 IPS |
|
|
Object Detection (SP)
|
100% |
8311
659.2 IPS |
|
|
Object Detection (HP)
|
100% |
8473
672.1 IPS |
|
|
Object Detection (Q)
|
88% |
18863
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
18696
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
19322
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
50095
595.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24718
190.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24707
190.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
66368
516.4 IPS |
|
|
Style Transfer (SP)
|
100% |
83982
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84366
108.5 IPS |
|
|
Style Transfer (Q)
|
98% |
298380
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15122
558.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15121
558.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39695
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5224
6.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7548
130.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7307
125.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6731
115.9 IPS |