| User | NeilB |
| Upload Date | September 24 2024 07:21 AM |
| Views | 18 |
| 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% |
7437
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7196
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
16761
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9282
150.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9546
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19585
317.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33360
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33530
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
135031
158.1 IPS |
|
|
Object Detection (SP)
|
100% |
8673
687.9 IPS |
|
|
Object Detection (HP)
|
100% |
8755
694.4 IPS |
|
|
Object Detection (Q)
|
88% |
19536
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
21450
254.9 IPS |
|
|
Face Detection (HP)
|
100% |
19115
227.1 IPS |
|
|
Face Detection (Q)
|
100% |
49103
583.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26850
206.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
26867
207.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
64011
507.3 IPS |
|
|
Style Transfer (SP)
|
100% |
88298
113.5 IPS |
|
|
Style Transfer (HP)
|
100% |
87600
112.6 IPS |
|
|
Style Transfer (Q)
|
98% |
305854
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15182
560.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15652
578.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41103
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5368
7.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7449
128.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7253
124.9 IPS |
|
|
Machine Translation (Q)
|
85% |
7620
133.2 IPS |