User | NeilB |
Upload Date | November 15 2024 04:58 AM |
Views | 5 |
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% |
7340
1.37 KIPS |
|
Image Classification (HP)
|
100% |
6977
1.30 KIPS |
|
Image Classification (Q)
|
100% |
15918
2.96 KIPS |
|
Image Segmentation (SP)
|
100% |
9258
150.1 IPS |
|
Image Segmentation (HP)
|
100% |
8883
144.0 IPS |
|
Image Segmentation (Q)
|
99% |
18891
306.2 IPS |
|
Pose Estimation (SP)
|
100% |
33326
38.9 IPS |
|
Pose Estimation (HP)
|
100% |
33546
39.1 IPS |
|
Pose Estimation (Q)
|
98% |
134251
157.2 IPS |
|
Object Detection (SP)
|
100% |
8490
673.5 IPS |
|
Object Detection (HP)
|
100% |
9008
714.5 IPS |
|
Object Detection (Q)
|
88% |
19051
1.53 KIPS |
|
Face Detection (SP)
|
100% |
18851
224.0 IPS |
|
Face Detection (HP)
|
100% |
18883
224.4 IPS |
|
Face Detection (Q)
|
100% |
48390
575.0 IPS |
|
Depth Estimation (SP)
|
100% |
24863
191.6 IPS |
|
Depth Estimation (HP)
|
100% |
24794
191.0 IPS |
|
Depth Estimation (Q)
|
80% |
68807
545.3 IPS |
|
Style Transfer (SP)
|
100% |
86917
111.7 IPS |
|
Style Transfer (HP)
|
100% |
86005
110.6 IPS |
|
Style Transfer (Q)
|
98% |
305497
393.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
15356
567.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
15707
580.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
39845
1.48 KIPS |
|
Text Classification (SP)
|
100% |
5259
7.02 KIPS |
|
Text Classification (HP)
|
100% |
5258
7.02 KIPS |
|
Text Classification (Q)
|
92% |
6617
8.89 KIPS |
|
Machine Translation (SP)
|
100% |
7538
129.9 IPS |
|
Machine Translation (HP)
|
100% |
7472
128.7 IPS |
|
Machine Translation (Q)
|
85% |
7060
123.4 IPS |