| User | hisyho |
| Upload Date | December 13 2025 04:15 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4169
775.3 IPS |
|
|
Image Classification (HP)
|
100% |
4049
753.0 IPS |
|
|
Image Classification (Q)
|
100% |
6176
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6055
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5815
94.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9622
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11349
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11479
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
23607
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4805
381.1 IPS |
|
|
Object Detection (HP)
|
100% |
4599
364.8 IPS |
|
|
Object Detection (Q)
|
87% |
7188
576.5 IPS |
|
|
Face Detection (SP)
|
100% |
10351
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
10673
126.8 IPS |
|
|
Face Detection (Q)
|
97% |
21038
250.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11678
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11856
91.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
21763
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32199
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31464
40.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67272
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6670
246.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6662
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12303
455.7 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (Q)
|
91% |
297
399.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2903
50.0 IPS |