User | NeilB |
Upload Date | September 24 2024 02:38 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% |
7248
1.35 KIPS |
|
Image Classification (HP)
|
100% |
6991
1.30 KIPS |
|
Image Classification (Q)
|
100% |
16061
2.99 KIPS |
|
Image Segmentation (SP)
|
100% |
10474
169.8 IPS |
|
Image Segmentation (HP)
|
100% |
8875
143.9 IPS |
|
Image Segmentation (Q)
|
99% |
19611
317.9 IPS |
|
Pose Estimation (SP)
|
100% |
33356
38.9 IPS |
|
Pose Estimation (HP)
|
100% |
33366
38.9 IPS |
|
Pose Estimation (Q)
|
98% |
134386
157.3 IPS |
|
Object Detection (SP)
|
100% |
8491
673.5 IPS |
|
Object Detection (HP)
|
100% |
8638
685.1 IPS |
|
Object Detection (Q)
|
88% |
18639
1.49 KIPS |
|
Face Detection (SP)
|
100% |
20299
241.2 IPS |
|
Face Detection (HP)
|
100% |
19288
229.2 IPS |
|
Face Detection (Q)
|
100% |
50006
594.2 IPS |
|
Depth Estimation (SP)
|
100% |
25077
193.2 IPS |
|
Depth Estimation (HP)
|
100% |
26691
205.6 IPS |
|
Depth Estimation (Q)
|
80% |
68543
543.2 IPS |
|
Style Transfer (SP)
|
100% |
87126
112.0 IPS |
|
Style Transfer (HP)
|
100% |
87969
113.1 IPS |
|
Style Transfer (Q)
|
98% |
305229
393.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
15783
582.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
15503
572.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
41049
1.52 KIPS |
|
Text Classification (SP)
|
100% |
5367
7.16 KIPS |
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
Text Classification (Q)
|
92% |
5959
8.00 KIPS |
|
Machine Translation (SP)
|
100% |
7640
131.6 IPS |
|
Machine Translation (HP)
|
100% |
7495
129.1 IPS |
|
Machine Translation (Q)
|
85% |
7298
127.6 IPS |