| User | Spiike |
| Upload Date | July 14 2025 01:56 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2510
466.7 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.3 IPS |
|
|
Image Classification (Q)
|
100% |
4053
753.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4800
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5490
6.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
10876
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2755
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.2 IPS |
|
|
Object Detection (Q)
|
87% |
4231
339.4 IPS |
|
|
Face Detection (SP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
8887
105.6 IPS |
|
|
Face Detection (Q)
|
97% |
12530
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7316
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7325
56.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11992
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16191
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16173
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31011
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3369
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6295
233.2 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
91% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4290
73.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4062
70.0 IPS |