User | NeilB |
Upload Date | September 24 2024 07:30 AM |
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% |
7493
1.39 KIPS |
|
Image Classification (HP)
|
100% |
7712
1.43 KIPS |
|
Image Classification (Q)
|
100% |
16266
3.02 KIPS |
|
Image Segmentation (SP)
|
100% |
8916
144.5 IPS |
|
Image Segmentation (HP)
|
100% |
9346
151.5 IPS |
|
Image Segmentation (Q)
|
99% |
18665
302.6 IPS |
|
Pose Estimation (SP)
|
100% |
33546
39.1 IPS |
|
Pose Estimation (HP)
|
100% |
33861
39.5 IPS |
|
Pose Estimation (Q)
|
98% |
135728
158.9 IPS |
|
Object Detection (SP)
|
100% |
8488
673.3 IPS |
|
Object Detection (HP)
|
100% |
8736
693.0 IPS |
|
Object Detection (Q)
|
88% |
19036
1.53 KIPS |
|
Face Detection (SP)
|
100% |
19122
227.2 IPS |
|
Face Detection (HP)
|
100% |
19648
233.5 IPS |
|
Face Detection (Q)
|
100% |
47165
560.4 IPS |
|
Depth Estimation (SP)
|
100% |
26264
202.3 IPS |
|
Depth Estimation (HP)
|
100% |
26130
201.3 IPS |
|
Depth Estimation (Q)
|
80% |
68146
540.1 IPS |
|
Style Transfer (SP)
|
100% |
87454
112.4 IPS |
|
Style Transfer (HP)
|
100% |
88083
113.2 IPS |
|
Style Transfer (Q)
|
98% |
308494
397.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
15693
579.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
15360
567.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
40822
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5123
6.84 KIPS |
|
Text Classification (HP)
|
100% |
5121
6.84 KIPS |
|
Text Classification (Q)
|
92% |
6162
8.28 KIPS |
|
Machine Translation (SP)
|
100% |
7607
131.0 IPS |
|
Machine Translation (HP)
|
100% |
7578
130.5 IPS |
|
Machine Translation (Q)
|
85% |
7127
124.6 IPS |