User | NeilB |
Upload Date | September 24 2024 07:25 AM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X 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% |
7043
1.31 KIPS |
|
Image Classification (HP)
|
100% |
7170
1.33 KIPS |
|
Image Classification (Q)
|
100% |
15649
2.91 KIPS |
|
Image Segmentation (SP)
|
100% |
9545
154.7 IPS |
|
Image Segmentation (HP)
|
100% |
9644
156.3 IPS |
|
Image Segmentation (Q)
|
99% |
18940
307.0 IPS |
|
Pose Estimation (SP)
|
100% |
33750
39.4 IPS |
|
Pose Estimation (HP)
|
100% |
33688
39.3 IPS |
|
Pose Estimation (Q)
|
98% |
135847
159.0 IPS |
|
Object Detection (SP)
|
100% |
9121
723.5 IPS |
|
Object Detection (HP)
|
100% |
8775
696.1 IPS |
|
Object Detection (Q)
|
88% |
19427
1.56 KIPS |
|
Face Detection (SP)
|
100% |
20993
249.4 IPS |
|
Face Detection (HP)
|
100% |
20990
249.4 IPS |
|
Face Detection (Q)
|
100% |
50333
598.1 IPS |
|
Depth Estimation (SP)
|
100% |
25477
196.3 IPS |
|
Depth Estimation (HP)
|
100% |
25630
197.5 IPS |
|
Depth Estimation (Q)
|
80% |
69973
554.5 IPS |
|
Style Transfer (SP)
|
100% |
87303
112.2 IPS |
|
Style Transfer (HP)
|
100% |
86565
111.3 IPS |
|
Style Transfer (Q)
|
98% |
307642
396.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
15659
578.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
15355
567.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
39824
1.47 KIPS |
|
Text Classification (SP)
|
100% |
5094
6.80 KIPS |
|
Text Classification (HP)
|
100% |
4938
6.59 KIPS |
|
Text Classification (Q)
|
92% |
6196
8.32 KIPS |
|
Machine Translation (SP)
|
100% |
7693
132.5 IPS |
|
Machine Translation (HP)
|
100% |
7559
130.2 IPS |
|
Machine Translation (Q)
|
85% |
7387
129.1 IPS |