User | MrCrispr |
Upload Date | October 05 2024 07:33 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% |
7679
1.43 KIPS |
|
Image Classification (HP)
|
100% |
7226
1.34 KIPS |
|
Image Classification (Q)
|
100% |
15939
2.96 KIPS |
|
Image Segmentation (SP)
|
100% |
9304
150.8 IPS |
|
Image Segmentation (HP)
|
100% |
9375
152.0 IPS |
|
Image Segmentation (Q)
|
99% |
18868
305.9 IPS |
|
Pose Estimation (SP)
|
100% |
32966
38.5 IPS |
|
Pose Estimation (HP)
|
100% |
32862
38.3 IPS |
|
Pose Estimation (Q)
|
98% |
131101
153.5 IPS |
|
Object Detection (SP)
|
100% |
8519
675.7 IPS |
|
Object Detection (HP)
|
100% |
8366
663.6 IPS |
|
Object Detection (Q)
|
88% |
18257
1.46 KIPS |
|
Face Detection (SP)
|
100% |
18941
225.1 IPS |
|
Face Detection (HP)
|
100% |
19667
233.7 IPS |
|
Face Detection (Q)
|
100% |
52851
628.0 IPS |
|
Depth Estimation (SP)
|
100% |
25650
197.6 IPS |
|
Depth Estimation (HP)
|
99% |
26542
204.5 IPS |
|
Depth Estimation (Q)
|
88% |
65757
511.6 IPS |
|
Style Transfer (SP)
|
100% |
85596
110.0 IPS |
|
Style Transfer (HP)
|
100% |
85260
109.6 IPS |
|
Style Transfer (Q)
|
98% |
297249
383.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
14896
550.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
15028
554.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
39277
1.45 KIPS |
|
Text Classification (SP)
|
100% |
5197
6.94 KIPS |
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
Text Classification (Q)
|
92% |
6173
8.29 KIPS |
|
Machine Translation (SP)
|
100% |
7668
132.1 IPS |
|
Machine Translation (HP)
|
100% |
7736
133.3 IPS |
|
Machine Translation (Q)
|
100% |
7178
123.6 IPS |