| User | domdtxdissar |
| Upload Date | April 13 2025 11:41 AM |
| Views | 4 |
| 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% |
7458
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7679
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
18995
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10719
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10315
167.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28170
456.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34783
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34836
40.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
135036
158.1 IPS |
|
|
Object Detection (SP)
|
100% |
9146
725.5 IPS |
|
|
Object Detection (HP)
|
100% |
9200
729.7 IPS |
|
|
Object Detection (Q)
|
88% |
22959
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
19402
230.5 IPS |
|
|
Face Detection (HP)
|
100% |
19547
232.3 IPS |
|
|
Face Detection (Q)
|
100% |
52787
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31075
239.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28865
222.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
76241
593.4 IPS |
|
|
Style Transfer (SP)
|
100% |
87313
112.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86441
111.1 IPS |
|
|
Style Transfer (Q)
|
98% |
304853
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16059
593.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16399
605.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40321
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5384
7.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
92% |
6042
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
9210
158.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9471
163.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9789
168.6 IPS |