| User | Cifra45 |
| Upload Date | August 21 2025 05:33 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6646
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7236
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
6501
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9837
159.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7905
128.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8359
135.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81841
95.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
132038
154.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
70212
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
6336
502.6 IPS |
|
|
Object Detection (HP)
|
100% |
7636
605.7 IPS |
|
|
Object Detection (Q)
|
87% |
5601
449.9 IPS |
|
|
Face Detection (SP)
|
100% |
19491
231.6 IPS |
|
|
Face Detection (HP)
|
100% |
23350
277.4 IPS |
|
|
Face Detection (Q)
|
97% |
15967
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41247
317.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52014
400.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
32336
259.7 IPS |
|
|
Style Transfer (SP)
|
100% |
172339
221.5 IPS |
|
|
Style Transfer (HP)
|
100% |
222480
286.0 IPS |
|
|
Style Transfer (Q)
|
98% |
139930
180.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25982
959.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31480
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19586
725.3 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1733
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1833
34.4 IPS |