| User | MrCrispr |
| Upload Date | September 30 2024 05:54 AM |
| Views | 6 |
| 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% |
6971
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7346
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
16188
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9328
151.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8676
140.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17537
284.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32803
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32617
38.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
129536
151.7 IPS |
|
|
Object Detection (SP)
|
100% |
8860
702.7 IPS |
|
|
Object Detection (HP)
|
100% |
9022
715.7 IPS |
|
|
Object Detection (Q)
|
88% |
18711
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
19682
233.9 IPS |
|
|
Face Detection (HP)
|
100% |
18347
218.0 IPS |
|
|
Face Detection (Q)
|
100% |
55427
658.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24503
188.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25251
194.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
66715
519.1 IPS |
|
|
Style Transfer (SP)
|
100% |
84596
108.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85117
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
298537
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15234
562.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15238
562.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39974
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
6138
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
8116
139.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8217
141.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7424
127.9 IPS |