User | NeilB |
Upload Date | October 26 2024 02:48 PM |
Views | 2 |
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% |
7022
1.31 KIPS |
|
Image Classification (HP)
|
100% |
7336
1.36 KIPS |
|
Image Classification (Q)
|
100% |
15781
2.93 KIPS |
|
Image Segmentation (SP)
|
100% |
9087
147.3 IPS |
|
Image Segmentation (HP)
|
100% |
8388
136.0 IPS |
|
Image Segmentation (Q)
|
99% |
19340
313.5 IPS |
|
Pose Estimation (SP)
|
100% |
33117
38.6 IPS |
|
Pose Estimation (HP)
|
100% |
33206
38.7 IPS |
|
Pose Estimation (Q)
|
98% |
134575
157.6 IPS |
|
Object Detection (SP)
|
100% |
9242
733.1 IPS |
|
Object Detection (HP)
|
100% |
8526
676.3 IPS |
|
Object Detection (Q)
|
88% |
19214
1.54 KIPS |
|
Face Detection (SP)
|
100% |
19027
226.1 IPS |
|
Face Detection (HP)
|
100% |
19206
228.2 IPS |
|
Face Detection (Q)
|
100% |
52732
626.6 IPS |
|
Depth Estimation (SP)
|
100% |
26243
202.2 IPS |
|
Depth Estimation (HP)
|
100% |
24901
191.8 IPS |
|
Depth Estimation (Q)
|
80% |
67282
533.2 IPS |
|
Style Transfer (SP)
|
100% |
86841
111.6 IPS |
|
Style Transfer (HP)
|
100% |
87342
112.3 IPS |
|
Style Transfer (Q)
|
98% |
304535
392.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
15096
557.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
15732
580.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
40077
1.48 KIPS |
|
Text Classification (SP)
|
100% |
5109
6.82 KIPS |
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
Text Classification (Q)
|
92% |
6335
8.51 KIPS |
|
Machine Translation (SP)
|
100% |
7236
124.6 IPS |
|
Machine Translation (HP)
|
100% |
7364
126.9 IPS |
|
Machine Translation (Q)
|
85% |
7151
125.0 IPS |