| User | paz_levi |
| Upload Date | August 19 2025 03:28 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A39 |
| Motherboard | MSI B350M GAMING PRO (MS-7A39) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6124
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6260
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
5209
968.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6973
113.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7181
116.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6135
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
85174
99.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
128884
150.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72166
84.5 IPS |
|
|
Object Detection (SP)
|
100% |
6283
498.4 IPS |
|
|
Object Detection (HP)
|
100% |
5923
469.8 IPS |
|
|
Object Detection (Q)
|
88% |
5495
440.5 IPS |
|
|
Face Detection (SP)
|
100% |
17788
211.4 IPS |
|
|
Face Detection (HP)
|
100% |
18770
223.0 IPS |
|
|
Face Detection (Q)
|
97% |
15022
179.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35806
275.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40696
314.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
28007
224.0 IPS |
|
|
Style Transfer (SP)
|
100% |
142204
182.8 IPS |
|
|
Style Transfer (HP)
|
100% |
210438
270.5 IPS |
|
|
Style Transfer (Q)
|
98% |
118466
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24563
907.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30597
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17084
632.6 IPS |
|
|
Text Classification (SP)
|
100% |
1649
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1632
30.6 IPS |