| User | pdindetroit |
| Upload Date | May 17 2025 08:30 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3580
665.8 IPS |
|
|
Image Classification (HP)
|
100% |
3595
668.6 IPS |
|
|
Image Classification (Q)
|
100% |
5573
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4620
74.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8321
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7441
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7258
8.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
20775
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3920
310.9 IPS |
|
|
Object Detection (Q)
|
87% |
6796
545.1 IPS |
|
|
Face Detection (SP)
|
100% |
7973
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
7945
94.4 IPS |
|
|
Face Detection (Q)
|
97% |
18981
226.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9449
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9234
71.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
18258
144.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24965
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26123
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
58761
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10549
390.8 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (Q)
|
91% |
466
626.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2802
48.3 IPS |