User | domdtxdissar |
Upload Date | September 19 2024 08:16 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5297
985.0 IPS |
|
Image Classification (HP)
|
100% |
5603
1.04 KIPS |
|
Image Classification (Q)
|
100% |
11844
2.20 KIPS |
|
Image Segmentation (SP)
|
100% |
5325
86.3 IPS |
|
Image Segmentation (HP)
|
100% |
5237
84.9 IPS |
|
Image Segmentation (Q)
|
99% |
11701
189.7 IPS |
|
Pose Estimation (SP)
|
100% |
17513
20.4 IPS |
|
Pose Estimation (HP)
|
100% |
17375
20.3 IPS |
|
Pose Estimation (Q)
|
98% |
67163
78.6 IPS |
|
Object Detection (SP)
|
100% |
5931
470.5 IPS |
|
Object Detection (HP)
|
100% |
5873
465.8 IPS |
|
Object Detection (Q)
|
88% |
13050
1.05 KIPS |
|
Face Detection (SP)
|
100% |
16167
192.1 IPS |
|
Face Detection (HP)
|
100% |
14646
174.0 IPS |
|
Face Detection (Q)
|
100% |
37209
442.1 IPS |
|
Depth Estimation (SP)
|
100% |
18565
143.0 IPS |
|
Depth Estimation (HP)
|
99% |
18245
140.6 IPS |
|
Depth Estimation (Q)
|
88% |
43925
341.8 IPS |
|
Style Transfer (SP)
|
100% |
44508
57.2 IPS |
|
Style Transfer (HP)
|
100% |
42682
54.9 IPS |
|
Style Transfer (Q)
|
98% |
150649
194.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
8771
323.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
8770
323.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
24226
897.2 IPS |
|
Text Classification (SP)
|
100% |
4241
5.66 KIPS |
|
Text Classification (HP)
|
100% |
4124
5.50 KIPS |
|
Text Classification (Q)
|
92% |
4801
6.45 KIPS |
|
Machine Translation (SP)
|
100% |
5700
98.2 IPS |
|
Machine Translation (HP)
|
100% |
5601
96.5 IPS |
|
Machine Translation (Q)
|
100% |
5652
97.4 IPS |