| User | hitman54822 |
| Upload Date | October 21 2024 05:29 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2554
474.9 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.7 IPS |
|
|
Image Classification (Q)
|
100% |
4088
760.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3806
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
11347
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (Q)
|
87% |
4396
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
7220
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
7219
85.8 IPS |
|
|
Face Detection (Q)
|
97% |
11763
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6646
51.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
11158
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16624
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16745
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31443
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3303
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3324
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6345
235.0 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
91% |
441
592.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2801
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2787
48.0 IPS |