User | NeilB |
Upload Date | September 24 2024 02:40 PM |
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% |
7506
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7182
1.34 KIPS |
|
Image Classification (Q)
|
100% |
16161
3.01 KIPS |
|
Image Segmentation (SP)
|
100% |
8848
143.4 IPS |
|
Image Segmentation (HP)
|
100% |
9163
148.5 IPS |
|
Image Segmentation (Q)
|
99% |
18553
300.8 IPS |
|
Pose Estimation (SP)
|
100% |
33378
38.9 IPS |
|
Pose Estimation (HP)
|
100% |
33842
39.5 IPS |
|
Pose Estimation (Q)
|
98% |
135210
158.3 IPS |
|
Object Detection (SP)
|
100% |
8626
684.2 IPS |
|
Object Detection (HP)
|
100% |
8512
675.2 IPS |
|
Object Detection (Q)
|
88% |
19007
1.52 KIPS |
|
Face Detection (SP)
|
100% |
21957
260.9 IPS |
|
Face Detection (HP)
|
100% |
22586
268.4 IPS |
|
Face Detection (Q)
|
100% |
49958
593.6 IPS |
|
Depth Estimation (SP)
|
100% |
25626
197.4 IPS |
|
Depth Estimation (HP)
|
100% |
25579
197.1 IPS |
|
Depth Estimation (Q)
|
80% |
69001
546.8 IPS |
|
Style Transfer (SP)
|
100% |
88003
113.1 IPS |
|
Style Transfer (HP)
|
100% |
88146
113.3 IPS |
|
Style Transfer (Q)
|
98% |
309301
398.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
15783
582.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
15982
590.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
40504
1.50 KIPS |
|
Text Classification (SP)
|
100% |
5230
6.98 KIPS |
|
Text Classification (HP)
|
100% |
4954
6.61 KIPS |
|
Text Classification (Q)
|
92% |
6078
8.16 KIPS |
|
Machine Translation (SP)
|
100% |
7399
127.4 IPS |
|
Machine Translation (HP)
|
100% |
7238
124.7 IPS |
|
Machine Translation (Q)
|
85% |
7305
127.7 IPS |