| User | Lucky_n00b |
| Upload Date | December 26 2024 07:06 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8804
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
10497
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
7743
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12346
200.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10621
172.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11267
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106951
124.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
163417
190.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
93996
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
7317
580.4 IPS |
|
|
Object Detection (HP)
|
99% |
11313
897.4 IPS |
|
|
Object Detection (Q)
|
89% |
6182
494.8 IPS |
|
|
Face Detection (SP)
|
100% |
21926
260.5 IPS |
|
|
Face Detection (HP)
|
100% |
27230
323.5 IPS |
|
|
Face Detection (Q)
|
97% |
16492
196.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
50252
387.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
63059
485.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
38745
312.4 IPS |
|
|
Style Transfer (SP)
|
100% |
177598
228.3 IPS |
|
|
Style Transfer (HP)
|
100% |
282471
363.1 IPS |
|
|
Style Transfer (Q)
|
98% |
163051
210.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31305
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39405
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25606
948.2 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2460
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4089
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1900
42.4 IPS |