| User | overbye |
| Upload Date | August 25 2024 06:49 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 GRE |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | X570 Steel Legend |
| Motherboard | ASRock X570 Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11328
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
12313
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9085
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17050
276.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15428
250.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15007
244.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
227138
265.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
308501
360.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
197882
231.9 IPS |
|
|
Object Detection (SP)
|
100% |
12899
1.02 KIPS |
|
|
Object Detection (HP)
|
99% |
14028
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
10882
871.4 IPS |
|
|
Face Detection (SP)
|
100% |
31864
378.6 IPS |
|
|
Face Detection (HP)
|
100% |
36425
432.8 IPS |
|
|
Face Detection (Q)
|
97% |
26830
320.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
64945
500.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73044
562.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
48707
399.1 IPS |
|
|
Style Transfer (SP)
|
100% |
358720
461.1 IPS |
|
|
Style Transfer (HP)
|
100% |
491262
631.5 IPS |
|
|
Style Transfer (Q)
|
98% |
301244
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37646
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49205
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28497
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4094
70.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1744
38.9 IPS |