| User | SGHphoto |
| Upload Date | January 07 2025 05:37 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% |
5164
960.4 IPS |
|
|
Image Classification (HP)
|
100% |
5145
956.8 IPS |
|
|
Image Classification (Q)
|
100% |
10391
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6985
113.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6212
100.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16534
268.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16315
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16197
18.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
62704
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
5591
443.4 IPS |
|
|
Object Detection (HP)
|
100% |
5398
428.2 IPS |
|
|
Object Detection (Q)
|
88% |
12449
998.0 IPS |
|
|
Face Detection (SP)
|
100% |
14396
171.1 IPS |
|
|
Face Detection (HP)
|
100% |
13882
164.9 IPS |
|
|
Face Detection (Q)
|
100% |
34063
404.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15319
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15702
121.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
41122
320.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42253
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41730
53.6 IPS |
|
|
Style Transfer (Q)
|
98% |
151443
195.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8505
314.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8517
314.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23733
878.9 IPS |
|
|
Text Classification (SP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
4894
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5320
91.6 IPS |