User | MrCrispr |
Upload Date | September 25 2024 05:04 AM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
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% |
6930
1.29 KIPS |
|
Image Classification (HP)
|
100% |
7409
1.38 KIPS |
|
Image Classification (Q)
|
100% |
16115
3.00 KIPS |
|
Image Segmentation (SP)
|
100% |
9699
157.2 IPS |
|
Image Segmentation (HP)
|
100% |
8557
138.7 IPS |
|
Image Segmentation (Q)
|
99% |
18738
303.8 IPS |
|
Pose Estimation (SP)
|
100% |
32616
38.1 IPS |
|
Pose Estimation (HP)
|
100% |
32672
38.1 IPS |
|
Pose Estimation (Q)
|
98% |
128953
151.0 IPS |
|
Object Detection (SP)
|
100% |
8299
658.3 IPS |
|
Object Detection (HP)
|
100% |
8907
706.5 IPS |
|
Object Detection (Q)
|
88% |
18737
1.50 KIPS |
|
Face Detection (SP)
|
100% |
20153
239.5 IPS |
|
Face Detection (HP)
|
100% |
21101
250.7 IPS |
|
Face Detection (Q)
|
100% |
48047
570.9 IPS |
|
Depth Estimation (SP)
|
100% |
25357
195.4 IPS |
|
Depth Estimation (HP)
|
99% |
25058
193.1 IPS |
|
Depth Estimation (Q)
|
88% |
68624
534.0 IPS |
|
Style Transfer (SP)
|
100% |
84966
109.2 IPS |
|
Style Transfer (HP)
|
100% |
84845
109.1 IPS |
|
Style Transfer (Q)
|
98% |
300233
387.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
15970
589.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15439
570.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
40882
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5029
6.71 KIPS |
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
Text Classification (Q)
|
92% |
6144
8.25 KIPS |
|
Machine Translation (SP)
|
100% |
7114
122.5 IPS |
|
Machine Translation (HP)
|
100% |
7136
122.9 IPS |
|
Machine Translation (Q)
|
100% |
7278
125.4 IPS |