| User | temeteus82 |
| Upload Date | October 18 2025 02:42 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13248
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
13138
2.44 KIPS |
|
|
Image Classification (Q)
|
99% |
10636
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22765
369.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18393
298.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18406
299.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
222357
259.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
333287
388.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
178780
209.5 IPS |
|
|
Object Detection (SP)
|
100% |
14677
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
15337
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
12128
974.1 IPS |
|
|
Face Detection (SP)
|
100% |
42166
501.0 IPS |
|
|
Face Detection (HP)
|
100% |
45293
538.2 IPS |
|
|
Face Detection (Q)
|
97% |
32618
388.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
75093
578.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82158
633.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
55743
447.6 IPS |
|
|
Style Transfer (SP)
|
100% |
387832
498.6 IPS |
|
|
Style Transfer (HP)
|
100% |
513790
660.5 IPS |
|
|
Style Transfer (Q)
|
98% |
306270
394.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43639
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51129
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31635
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2652
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5818
100.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6459
111.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3416
64.1 IPS |