User | domdtxdissar |
Upload Date | April 16 2025 01:48 AM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X3D 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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7301
1.36 KIPS |
|
Image Classification (HP)
|
100% |
8120
1.51 KIPS |
|
Image Classification (Q)
|
100% |
18960
3.53 KIPS |
|
Image Segmentation (SP)
|
100% |
10544
170.9 IPS |
|
Image Segmentation (HP)
|
100% |
11041
179.0 IPS |
|
Image Segmentation (Q)
|
99% |
28070
455.0 IPS |
|
Pose Estimation (SP)
|
100% |
34763
40.6 IPS |
|
Pose Estimation (HP)
|
100% |
36008
42.0 IPS |
|
Pose Estimation (Q)
|
98% |
135070
158.1 IPS |
|
Object Detection (SP)
|
100% |
9579
759.8 IPS |
|
Object Detection (HP)
|
100% |
9153
726.0 IPS |
|
Object Detection (Q)
|
88% |
22470
1.80 KIPS |
|
Face Detection (SP)
|
100% |
20114
239.0 IPS |
|
Face Detection (HP)
|
100% |
20762
246.7 IPS |
|
Face Detection (Q)
|
100% |
55246
656.4 IPS |
|
Depth Estimation (SP)
|
100% |
28857
222.3 IPS |
|
Depth Estimation (HP)
|
99% |
29531
227.5 IPS |
|
Depth Estimation (Q)
|
88% |
76899
598.5 IPS |
|
Style Transfer (SP)
|
100% |
89656
115.3 IPS |
|
Style Transfer (HP)
|
100% |
88947
114.3 IPS |
|
Style Transfer (Q)
|
98% |
310852
400.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
16377
604.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
16304
602.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
42218
1.56 KIPS |
|
Text Classification (SP)
|
100% |
5295
7.07 KIPS |
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
Text Classification (Q)
|
92% |
6043
8.12 KIPS |
|
Machine Translation (SP)
|
100% |
9278
159.8 IPS |
|
Machine Translation (HP)
|
100% |
9154
157.7 IPS |
|
Machine Translation (Q)
|
100% |
10009
172.4 IPS |