| User | domdtxdissar |
| Upload Date | December 17 2024 08:26 PM |
| Views | 12 |
| 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% |
7215
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7261
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15174
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9110
147.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8990
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19165
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33219
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33288
38.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
132226
154.8 IPS |
|
|
Object Detection (SP)
|
100% |
8777
696.2 IPS |
|
|
Object Detection (HP)
|
100% |
8477
672.4 IPS |
|
|
Object Detection (Q)
|
88% |
18102
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
19426
230.8 IPS |
|
|
Face Detection (HP)
|
100% |
20307
241.3 IPS |
|
|
Face Detection (Q)
|
100% |
46466
552.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26174
201.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27134
209.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
65265
507.8 IPS |
|
|
Style Transfer (SP)
|
100% |
85635
110.1 IPS |
|
|
Style Transfer (HP)
|
100% |
84962
109.2 IPS |
|
|
Style Transfer (Q)
|
98% |
299949
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14810
546.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14704
543.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38936
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
92% |
5766
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
7379
127.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7511
129.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6824
117.5 IPS |