| Upload Date | December 07 2025 07:20 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2808
522.2 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.2 IPS |
|
|
Image Classification (Q)
|
100% |
2305
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3957
64.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3068
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
42239
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
44353
51.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34522
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
3637
288.5 IPS |
|
|
Object Detection (Q)
|
88% |
2668
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
8994
106.9 IPS |
|
|
Face Detection (HP)
|
100% |
11915
141.6 IPS |
|
|
Face Detection (Q)
|
97% |
7194
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18416
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21841
168.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13436
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
72978
93.8 IPS |
|
|
Style Transfer (HP)
|
100% |
79108
101.7 IPS |
|
|
Style Transfer (Q)
|
98% |
56844
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10720
395.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11626
429.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7223
267.5 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
655
877.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2172
37.6 IPS |
|
|
Machine Translation (Q)
|
70% |
948
17.8 IPS |