User | NeilB |
Upload Date | September 26 2024 12:01 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% |
7815
1.45 KIPS |
|
Image Classification (HP)
|
100% |
7329
1.36 KIPS |
|
Image Classification (Q)
|
100% |
15970
2.97 KIPS |
|
Image Segmentation (SP)
|
100% |
9094
147.4 IPS |
|
Image Segmentation (HP)
|
100% |
9077
147.1 IPS |
|
Image Segmentation (Q)
|
99% |
18826
305.2 IPS |
|
Pose Estimation (SP)
|
100% |
33470
39.1 IPS |
|
Pose Estimation (HP)
|
100% |
33731
39.4 IPS |
|
Pose Estimation (Q)
|
98% |
133134
155.9 IPS |
|
Object Detection (SP)
|
100% |
8762
695.0 IPS |
|
Object Detection (HP)
|
100% |
8482
672.8 IPS |
|
Object Detection (Q)
|
88% |
18728
1.50 KIPS |
|
Face Detection (SP)
|
100% |
19445
231.1 IPS |
|
Face Detection (HP)
|
100% |
18554
220.5 IPS |
|
Face Detection (Q)
|
100% |
50369
598.5 IPS |
|
Depth Estimation (SP)
|
100% |
25556
196.9 IPS |
|
Depth Estimation (HP)
|
100% |
25448
196.1 IPS |
|
Depth Estimation (Q)
|
80% |
68920
546.2 IPS |
|
Style Transfer (SP)
|
100% |
87468
112.4 IPS |
|
Style Transfer (HP)
|
100% |
86575
111.3 IPS |
|
Style Transfer (Q)
|
98% |
306189
394.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
14971
552.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
14914
550.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
40688
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5321
7.10 KIPS |
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
Text Classification (Q)
|
92% |
6164
8.28 KIPS |
|
Machine Translation (SP)
|
100% |
7417
127.8 IPS |
|
Machine Translation (HP)
|
100% |
7476
128.8 IPS |
|
Machine Translation (Q)
|
85% |
7091
123.9 IPS |