User | MrCrispr |
Upload Date | October 06 2024 12:40 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% |
7383
1.37 KIPS |
|
Image Classification (HP)
|
100% |
7142
1.33 KIPS |
|
Image Classification (Q)
|
100% |
16200
3.01 KIPS |
|
Image Segmentation (SP)
|
100% |
8873
143.8 IPS |
|
Image Segmentation (HP)
|
100% |
8960
145.2 IPS |
|
Image Segmentation (Q)
|
99% |
17929
290.6 IPS |
|
Pose Estimation (SP)
|
100% |
32643
38.1 IPS |
|
Pose Estimation (HP)
|
100% |
32382
37.8 IPS |
|
Pose Estimation (Q)
|
98% |
131341
153.8 IPS |
|
Object Detection (SP)
|
100% |
8605
682.6 IPS |
|
Object Detection (HP)
|
100% |
9010
714.6 IPS |
|
Object Detection (Q)
|
88% |
18739
1.50 KIPS |
|
Face Detection (SP)
|
100% |
18661
221.7 IPS |
|
Face Detection (HP)
|
100% |
20111
239.0 IPS |
|
Face Detection (Q)
|
100% |
46246
549.5 IPS |
|
Depth Estimation (SP)
|
100% |
24774
190.9 IPS |
|
Depth Estimation (HP)
|
99% |
24009
185.0 IPS |
|
Depth Estimation (Q)
|
88% |
65607
510.5 IPS |
|
Style Transfer (SP)
|
100% |
84363
108.4 IPS |
|
Style Transfer (HP)
|
100% |
84172
108.2 IPS |
|
Style Transfer (Q)
|
98% |
301676
389.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
15362
567.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
14838
547.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
39496
1.46 KIPS |
|
Text Classification (SP)
|
100% |
5231
6.98 KIPS |
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
Text Classification (Q)
|
92% |
5964
8.01 KIPS |
|
Machine Translation (SP)
|
100% |
7338
126.4 IPS |
|
Machine Translation (HP)
|
100% |
7235
124.6 IPS |
|
Machine Translation (Q)
|
100% |
7025
121.0 IPS |