| User | techidiot |
| Upload Date | September 13 2025 06:46 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro W5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2387
443.8 IPS |
|
|
Image Classification (HP)
|
100% |
2485
462.1 IPS |
|
|
Image Classification (Q)
|
100% |
2165
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1954
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47309
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67286
78.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
40918
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (Q)
|
88% |
2242
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
6195
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
97% |
5600
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18057
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20191
155.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14135
113.0 IPS |
|
|
Style Transfer (SP)
|
100% |
72176
92.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95459
122.7 IPS |
|
|
Style Transfer (Q)
|
98% |
60752
78.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11276
416.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12592
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8421
311.8 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
640
857.7 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
70% |
506
9.49 IPS |