| User | MrCrispr |
| Upload Date | September 20 2024 10:28 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7063
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7446
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15901
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9656
156.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8457
137.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19321
313.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32352
37.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32924
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
129284
151.4 IPS |
|
|
Object Detection (SP)
|
100% |
8611
683.0 IPS |
|
|
Object Detection (HP)
|
100% |
8448
670.1 IPS |
|
|
Object Detection (Q)
|
88% |
18686
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
20523
243.9 IPS |
|
|
Face Detection (HP)
|
100% |
18866
224.2 IPS |
|
|
Face Detection (Q)
|
100% |
49829
592.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26129
201.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25075
193.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
69471
540.5 IPS |
|
|
Style Transfer (SP)
|
100% |
85309
109.7 IPS |
|
|
Style Transfer (HP)
|
100% |
84187
108.2 IPS |
|
|
Style Transfer (Q)
|
98% |
299422
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15293
564.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15354
566.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39551
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5181
6.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6401
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
7406
127.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7443
128.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7208
124.2 IPS |