| User | Meinlsync |
| Upload Date | February 09 2025 11:36 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING PLUS (MS-7C75) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8446
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8675
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7191
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16115
261.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13300
215.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13567
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
189266
220.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
273714
319.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
157704
184.8 IPS |
|
|
Object Detection (SP)
|
100% |
11419
905.8 IPS |
|
|
Object Detection (HP)
|
100% |
10576
838.9 IPS |
|
|
Object Detection (Q)
|
89% |
9670
774.4 IPS |
|
|
Face Detection (SP)
|
100% |
29335
348.6 IPS |
|
|
Face Detection (HP)
|
100% |
31640
376.0 IPS |
|
|
Face Detection (Q)
|
97% |
23455
279.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59716
460.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64648
498.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
45759
373.6 IPS |
|
|
Style Transfer (SP)
|
100% |
314750
404.6 IPS |
|
|
Style Transfer (HP)
|
100% |
405644
521.5 IPS |
|
|
Style Transfer (Q)
|
98% |
254009
327.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37646
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42685
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27173
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2426
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2076
46.3 IPS |