| User | NiFa18 |
| Upload Date | April 06 2026 06:26 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
100% |
684
127.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6728
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6052
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (Q)
|
87% |
704
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
2115
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3823
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4640
35.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3356
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11435
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16571
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10046
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3832
141.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2151
79.7 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.6 IPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
498
666.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
614
11.5 IPS |