| User | domdtxdissar |
| Upload Date | April 16 2025 01:20 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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% |
7647
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7909
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
19166
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10665
172.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10159
164.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29338
475.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
35340
41.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35215
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
136196
159.4 IPS |
|
|
Object Detection (SP)
|
100% |
9478
751.8 IPS |
|
|
Object Detection (HP)
|
100% |
9391
744.9 IPS |
|
|
Object Detection (Q)
|
88% |
22321
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
22681
269.5 IPS |
|
|
Face Detection (HP)
|
100% |
20250
240.6 IPS |
|
|
Face Detection (Q)
|
100% |
51928
617.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28180
217.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28373
218.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
77033
599.6 IPS |
|
|
Style Transfer (SP)
|
100% |
89193
114.7 IPS |
|
|
Style Transfer (HP)
|
100% |
88096
113.2 IPS |
|
|
Style Transfer (Q)
|
98% |
315289
406.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16461
607.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16319
602.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40667
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5124
6.84 KIPS |
|
|
Text Classification (Q)
|
92% |
6588
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
9251
159.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9352
161.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10383
178.9 IPS |