User | MrCrispr |
Upload Date | October 06 2024 03:43 AM |
Views | 2 |
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% |
7522
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7331
1.36 KIPS |
|
Image Classification (Q)
|
100% |
16098
2.99 KIPS |
|
Image Segmentation (SP)
|
100% |
8399
136.1 IPS |
|
Image Segmentation (HP)
|
100% |
8171
132.5 IPS |
|
Image Segmentation (Q)
|
99% |
17162
278.2 IPS |
|
Pose Estimation (SP)
|
100% |
33023
38.5 IPS |
|
Pose Estimation (HP)
|
100% |
33087
38.6 IPS |
|
Pose Estimation (Q)
|
98% |
130835
153.2 IPS |
|
Object Detection (SP)
|
100% |
9192
729.1 IPS |
|
Object Detection (HP)
|
100% |
9092
721.2 IPS |
|
Object Detection (Q)
|
88% |
18938
1.52 KIPS |
|
Face Detection (SP)
|
100% |
19052
226.4 IPS |
|
Face Detection (HP)
|
100% |
18199
216.2 IPS |
|
Face Detection (Q)
|
100% |
47755
567.4 IPS |
|
Depth Estimation (SP)
|
100% |
25033
192.9 IPS |
|
Depth Estimation (HP)
|
99% |
25491
196.4 IPS |
|
Depth Estimation (Q)
|
88% |
67389
524.3 IPS |
|
Style Transfer (SP)
|
100% |
85339
109.7 IPS |
|
Style Transfer (HP)
|
100% |
86675
111.4 IPS |
|
Style Transfer (Q)
|
98% |
299825
386.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
15115
558.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
15239
562.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
39971
1.48 KIPS |
|
Text Classification (SP)
|
100% |
5237
6.99 KIPS |
|
Text Classification (HP)
|
100% |
5381
7.18 KIPS |
|
Text Classification (Q)
|
92% |
6150
8.26 KIPS |
|
Machine Translation (SP)
|
100% |
7887
135.9 IPS |
|
Machine Translation (HP)
|
100% |
8348
143.8 IPS |
|
Machine Translation (Q)
|
100% |
7645
131.7 IPS |