User | Smooopz |
Upload Date | January 29 2025 02:21 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4794
891.6 IPS |
|
Image Classification (HP)
|
100% |
4893
910.0 IPS |
|
Image Classification (Q)
|
100% |
10510
1.95 KIPS |
|
Image Segmentation (SP)
|
100% |
6536
106.0 IPS |
|
Image Segmentation (HP)
|
100% |
6310
102.3 IPS |
|
Image Segmentation (Q)
|
99% |
16831
272.8 IPS |
|
Pose Estimation (SP)
|
100% |
15923
18.6 IPS |
|
Pose Estimation (HP)
|
100% |
15958
18.6 IPS |
|
Pose Estimation (Q)
|
98% |
62592
73.3 IPS |
|
Object Detection (SP)
|
100% |
5254
416.8 IPS |
|
Object Detection (HP)
|
100% |
5233
415.1 IPS |
|
Object Detection (Q)
|
88% |
11537
924.8 IPS |
|
Face Detection (SP)
|
100% |
13520
160.6 IPS |
|
Face Detection (HP)
|
100% |
12725
151.2 IPS |
|
Face Detection (Q)
|
100% |
32958
391.6 IPS |
|
Depth Estimation (SP)
|
100% |
15532
119.7 IPS |
|
Depth Estimation (HP)
|
99% |
15658
120.6 IPS |
|
Depth Estimation (Q)
|
88% |
40981
318.9 IPS |
|
Style Transfer (SP)
|
100% |
40407
51.9 IPS |
|
Style Transfer (HP)
|
100% |
40672
52.3 IPS |
|
Style Transfer (Q)
|
98% |
148215
191.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
8366
308.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
8435
311.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
23092
855.2 IPS |
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
Text Classification (HP)
|
100% |
3678
4.91 KIPS |
|
Text Classification (Q)
|
92% |
4146
5.57 KIPS |
|
Machine Translation (SP)
|
100% |
4977
85.7 IPS |
|
Machine Translation (HP)
|
100% |
4934
85.0 IPS |
|
Machine Translation (Q)
|
100% |
5036
86.8 IPS |