| Upload Date | November 12 2025 05:11 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
100% |
657
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9967
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5378
6.30 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
87% |
613
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
2020
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
1817
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3350
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4230
32.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2947
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10144
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15286
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8893
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2054
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
746
996.4 IPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
507
679.4 IPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
70% |
497
9.33 IPS |