| User | sam_86314 |
| Upload Date | February 01 2026 03:08 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO (MS-7B79) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10323
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10186
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
8670
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15653
253.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12813
207.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13194
214.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
183037
213.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
268137
312.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
151582
177.6 IPS |
|
|
Object Detection (SP)
|
100% |
11099
880.4 IPS |
|
|
Object Detection (HP)
|
100% |
11254
892.7 IPS |
|
|
Object Detection (Q)
|
87% |
9618
772.4 IPS |
|
|
Face Detection (SP)
|
100% |
30258
359.5 IPS |
|
|
Face Detection (HP)
|
100% |
32368
384.6 IPS |
|
|
Face Detection (Q)
|
97% |
25060
298.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
63356
488.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68360
526.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
48440
389.0 IPS |
|
|
Style Transfer (SP)
|
100% |
292171
375.6 IPS |
|
|
Style Transfer (HP)
|
100% |
382329
491.5 IPS |
|
|
Style Transfer (Q)
|
98% |
238874
308.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36780
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42439
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27475
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4549
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2651
49.7 IPS |