User | MrCrispr |
Upload Date | September 25 2024 06:44 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% |
7231
1.34 KIPS |
|
Image Classification (HP)
|
100% |
7256
1.35 KIPS |
|
Image Classification (Q)
|
100% |
16107
3.00 KIPS |
|
Image Segmentation (SP)
|
100% |
8876
143.9 IPS |
|
Image Segmentation (HP)
|
100% |
8901
144.3 IPS |
|
Image Segmentation (Q)
|
99% |
18111
293.6 IPS |
|
Pose Estimation (SP)
|
100% |
32549
38.0 IPS |
|
Pose Estimation (HP)
|
100% |
33174
38.7 IPS |
|
Pose Estimation (Q)
|
98% |
129077
151.1 IPS |
|
Object Detection (SP)
|
100% |
8935
708.7 IPS |
|
Object Detection (HP)
|
100% |
8952
710.1 IPS |
|
Object Detection (Q)
|
88% |
18815
1.51 KIPS |
|
Face Detection (SP)
|
100% |
20439
242.9 IPS |
|
Face Detection (HP)
|
100% |
19315
229.5 IPS |
|
Face Detection (Q)
|
100% |
49047
582.8 IPS |
|
Depth Estimation (SP)
|
100% |
25896
199.5 IPS |
|
Depth Estimation (HP)
|
99% |
26485
204.0 IPS |
|
Depth Estimation (Q)
|
88% |
68433
532.5 IPS |
|
Style Transfer (SP)
|
100% |
85069
109.4 IPS |
|
Style Transfer (HP)
|
100% |
84890
109.1 IPS |
|
Style Transfer (Q)
|
98% |
298357
384.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
15502
572.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
14975
552.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
41346
1.53 KIPS |
|
Text Classification (SP)
|
100% |
5494
7.33 KIPS |
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
Text Classification (Q)
|
92% |
6156
8.27 KIPS |
|
Machine Translation (SP)
|
100% |
7869
135.5 IPS |
|
Machine Translation (HP)
|
100% |
8151
140.4 IPS |
|
Machine Translation (Q)
|
100% |
7736
133.3 IPS |