User | NeilB |
Upload Date | October 26 2024 02:55 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
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% |
7199
1.34 KIPS |
|
Image Classification (HP)
|
100% |
7519
1.40 KIPS |
|
Image Classification (Q)
|
100% |
15438
2.87 KIPS |
|
Image Segmentation (SP)
|
100% |
8650
140.2 IPS |
|
Image Segmentation (HP)
|
100% |
8875
143.9 IPS |
|
Image Segmentation (Q)
|
99% |
18776
304.4 IPS |
|
Pose Estimation (SP)
|
100% |
33008
38.5 IPS |
|
Pose Estimation (HP)
|
100% |
32911
38.4 IPS |
|
Pose Estimation (Q)
|
98% |
133957
156.8 IPS |
|
Object Detection (SP)
|
100% |
8452
670.4 IPS |
|
Object Detection (HP)
|
100% |
8907
706.5 IPS |
|
Object Detection (Q)
|
88% |
19248
1.54 KIPS |
|
Face Detection (SP)
|
100% |
19578
232.6 IPS |
|
Face Detection (HP)
|
100% |
18307
217.5 IPS |
|
Face Detection (Q)
|
100% |
51174
608.1 IPS |
|
Depth Estimation (SP)
|
100% |
27312
210.4 IPS |
|
Depth Estimation (HP)
|
100% |
25451
196.1 IPS |
|
Depth Estimation (Q)
|
80% |
68683
544.3 IPS |
|
Style Transfer (SP)
|
100% |
86353
111.0 IPS |
|
Style Transfer (HP)
|
100% |
86425
111.1 IPS |
|
Style Transfer (Q)
|
98% |
303472
391.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
15459
570.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
15204
561.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
39193
1.45 KIPS |
|
Text Classification (SP)
|
100% |
5593
7.47 KIPS |
|
Text Classification (HP)
|
100% |
5473
7.31 KIPS |
|
Text Classification (Q)
|
92% |
6389
8.58 KIPS |
|
Machine Translation (SP)
|
100% |
7487
129.0 IPS |
|
Machine Translation (HP)
|
100% |
7551
130.1 IPS |
|
Machine Translation (Q)
|
85% |
7078
123.7 IPS |