| User | oscarbg81 |
| Upload Date | December 07 2024 08:56 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Equilibrado |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5088
946.2 IPS |
|
|
Image Classification (HP)
|
100% |
5151
957.9 IPS |
|
|
Image Classification (Q)
|
100% |
10794
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6662
108.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6758
109.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17264
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15239
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15436
18.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
60582
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
5514
437.4 IPS |
|
|
Object Detection (HP)
|
100% |
5517
437.7 IPS |
|
|
Object Detection (Q)
|
88% |
12121
971.7 IPS |
|
|
Face Detection (SP)
|
100% |
13775
163.7 IPS |
|
|
Face Detection (HP)
|
100% |
14121
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
34833
413.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15229
117.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15198
117.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
40469
314.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40215
51.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40273
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
144853
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8184
302.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8251
304.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22521
834.0 IPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
92% |
4835
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5534
95.3 IPS |