User | NeilB |
Upload Date | September 23 2024 02:20 PM |
Views | 7 |
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% |
7954
1.48 KIPS |
|
Image Classification (HP)
|
100% |
7361
1.37 KIPS |
|
Image Classification (Q)
|
100% |
15849
2.95 KIPS |
|
Image Segmentation (SP)
|
100% |
9159
148.5 IPS |
|
Image Segmentation (HP)
|
100% |
9109
147.7 IPS |
|
Image Segmentation (Q)
|
99% |
18581
301.2 IPS |
|
Pose Estimation (SP)
|
100% |
33155
38.7 IPS |
|
Pose Estimation (HP)
|
100% |
33036
38.5 IPS |
|
Pose Estimation (Q)
|
98% |
132144
154.7 IPS |
|
Object Detection (SP)
|
100% |
8521
675.9 IPS |
|
Object Detection (HP)
|
100% |
8814
699.1 IPS |
|
Object Detection (Q)
|
88% |
18853
1.51 KIPS |
|
Face Detection (SP)
|
100% |
20949
248.9 IPS |
|
Face Detection (HP)
|
100% |
19752
234.7 IPS |
|
Face Detection (Q)
|
100% |
50698
602.4 IPS |
|
Depth Estimation (SP)
|
100% |
25561
196.9 IPS |
|
Depth Estimation (HP)
|
100% |
25038
192.9 IPS |
|
Depth Estimation (Q)
|
80% |
66389
526.1 IPS |
|
Style Transfer (SP)
|
100% |
86261
110.9 IPS |
|
Style Transfer (HP)
|
100% |
85956
110.5 IPS |
|
Style Transfer (Q)
|
98% |
303745
391.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
15487
571.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
15395
568.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
40458
1.50 KIPS |
|
Text Classification (SP)
|
100% |
5102
6.81 KIPS |
|
Text Classification (HP)
|
100% |
5307
7.08 KIPS |
|
Text Classification (Q)
|
92% |
6285
8.44 KIPS |
|
Machine Translation (SP)
|
100% |
7562
130.3 IPS |
|
Machine Translation (HP)
|
100% |
7594
130.8 IPS |
|
Machine Translation (Q)
|
85% |
7054
123.3 IPS |