| User | MrCrispr |
| Upload Date | September 30 2024 04:09 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% |
6887
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7234
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
14869
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8625
139.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8008
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18425
298.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31465
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31386
36.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
126542
148.1 IPS |
|
|
Object Detection (SP)
|
100% |
8354
662.6 IPS |
|
|
Object Detection (HP)
|
100% |
8466
671.5 IPS |
|
|
Object Detection (Q)
|
88% |
17810
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
18167
215.9 IPS |
|
|
Face Detection (HP)
|
100% |
17682
210.1 IPS |
|
|
Face Detection (Q)
|
100% |
45392
539.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23932
184.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24498
188.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66632
518.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80955
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
81948
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
291418
375.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14430
532.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14482
534.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37770
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
5042
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5042
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5786
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
7199
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7159
123.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7038
121.2 IPS |