User | MrCrispr |
Upload Date | October 19 2024 09:52 AM |
Views | 3 |
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% |
7248
1.35 KIPS |
|
Image Classification (HP)
|
100% |
7520
1.40 KIPS |
|
Image Classification (Q)
|
100% |
15789
2.94 KIPS |
|
Image Segmentation (SP)
|
100% |
8496
137.7 IPS |
|
Image Segmentation (HP)
|
100% |
8732
141.5 IPS |
|
Image Segmentation (Q)
|
99% |
18031
292.3 IPS |
|
Pose Estimation (SP)
|
100% |
32781
38.3 IPS |
|
Pose Estimation (HP)
|
100% |
33110
38.6 IPS |
|
Pose Estimation (Q)
|
98% |
131702
154.2 IPS |
|
Object Detection (SP)
|
100% |
9049
717.8 IPS |
|
Object Detection (HP)
|
100% |
8723
691.9 IPS |
|
Object Detection (Q)
|
88% |
19378
1.55 KIPS |
|
Face Detection (SP)
|
100% |
18630
221.4 IPS |
|
Face Detection (HP)
|
100% |
19682
233.9 IPS |
|
Face Detection (Q)
|
100% |
47990
570.2 IPS |
|
Depth Estimation (SP)
|
100% |
26202
201.9 IPS |
|
Depth Estimation (HP)
|
99% |
25485
196.3 IPS |
|
Depth Estimation (Q)
|
88% |
68221
530.8 IPS |
|
Style Transfer (SP)
|
100% |
86340
111.0 IPS |
|
Style Transfer (HP)
|
100% |
85930
110.5 IPS |
|
Style Transfer (Q)
|
98% |
300494
387.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
15487
571.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
15333
566.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
40547
1.50 KIPS |
|
Text Classification (SP)
|
100% |
5490
7.33 KIPS |
|
Text Classification (HP)
|
100% |
5337
7.12 KIPS |
|
Text Classification (Q)
|
92% |
6309
8.48 KIPS |
|
Machine Translation (SP)
|
100% |
8105
139.6 IPS |
|
Machine Translation (HP)
|
100% |
8026
138.3 IPS |
|
Machine Translation (Q)
|
100% |
7400
127.5 IPS |