| User | domdtxdissar |
| Upload Date | December 15 2024 03:38 AM |
| Views | 13 |
| 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% |
7187
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7533
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
16324
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8963
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8800
142.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19332
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33165
38.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33302
38.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
131984
154.5 IPS |
|
|
Object Detection (SP)
|
100% |
8623
684.0 IPS |
|
|
Object Detection (HP)
|
100% |
8107
643.0 IPS |
|
|
Object Detection (Q)
|
88% |
18834
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
19629
233.2 IPS |
|
|
Face Detection (HP)
|
100% |
19475
231.4 IPS |
|
|
Face Detection (Q)
|
100% |
54247
644.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25920
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25152
193.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67034
521.6 IPS |
|
|
Style Transfer (SP)
|
100% |
86664
111.4 IPS |
|
|
Style Transfer (HP)
|
100% |
87039
111.9 IPS |
|
|
Style Transfer (Q)
|
98% |
297619
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15476
571.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15199
561.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39744
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5516
7.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5026
6.71 KIPS |
|
|
Text Classification (Q)
|
92% |
6473
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
7614
131.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7558
130.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7160
123.3 IPS |