| User | SGHphoto |
| Upload Date | January 07 2025 05:57 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5197
966.6 IPS |
|
|
Image Classification (HP)
|
100% |
5182
963.7 IPS |
|
|
Image Classification (Q)
|
100% |
11181
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6888
111.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6777
109.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17741
287.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16575
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16802
19.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
64662
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
5583
442.9 IPS |
|
|
Object Detection (HP)
|
100% |
5638
447.2 IPS |
|
|
Object Detection (Q)
|
88% |
12871
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
14551
172.9 IPS |
|
|
Face Detection (HP)
|
100% |
14015
166.5 IPS |
|
|
Face Detection (Q)
|
100% |
35000
415.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15610
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15719
121.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
43163
335.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42063
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42368
54.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149519
192.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8645
319.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8721
322.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24031
890.0 IPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
92% |
4713
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5404
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5454
94.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5668
97.6 IPS |