| Upload Date | October 04 2025 09:03 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 56.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9842
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
10869
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
8755
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16019
259.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13465
218.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14088
229.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
177372
207.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
309012
360.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
152330
178.4 IPS |
|
|
Object Detection (SP)
|
100% |
10030
795.5 IPS |
|
|
Object Detection (HP)
|
99% |
12410
984.4 IPS |
|
|
Object Detection (Q)
|
87% |
8872
712.5 IPS |
|
|
Face Detection (SP)
|
100% |
33477
397.8 IPS |
|
|
Face Detection (HP)
|
100% |
38784
460.8 IPS |
|
|
Face Detection (Q)
|
97% |
29018
346.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
58897
453.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
67349
518.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
51102
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
292155
375.6 IPS |
|
|
Style Transfer (HP)
|
100% |
448142
576.1 IPS |
|
|
Style Transfer (Q)
|
98% |
251656
324.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30742
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48522
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24357
901.9 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1965
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2395
44.9 IPS |